CoimbatoreArchive for 2013
No unwanted catch image read error bw nd color
No unwanted catch image read error bw nd color
import java.awt.Graphics2D;
import java.awt.image.BufferedImage;
import java.awt.image.DataBuffer;
import java.io.BufferedReader;
import java.io.BufferedWriter;
import java.io.File;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.io.PrintWriter;
import java.net.URL;
import java.util.ArrayList;
import java.util.Scanner;
import javax.imageio.ImageIO;
public class forjar
{
private static BufferedImage image;
private static BufferedImage image1;
private static final int IMG_WIDTH = 150;
private static final int IMG_HEIGHT = 150;
private static BufferedImage resizeImage(BufferedImage originalImage, int type){
BufferedImage resizedImage = new BufferedImage(IMG_WIDTH, IMG_HEIGHT, type);
Graphics2D g = resizedImage.createGraphics();
g.drawImage(originalImage, 0, 0, IMG_WIDTH, IMG_HEIGHT, null);
g.dispose();
return resizedImage;
}
public static void main(String[] args) throws IOException
{
Scanner in=new Scanner(System.in);
System.out.println("\n\n\t\t Welcome User\n");
System.out.println("Enter Folder location (e.x) C:\\\\Users\\\\mukunthan.g2\\\\Desktop\\\\New folder\\\\ \n");
//System.out.println("(e.x) C:\\Users\\mukunthan.g2\\Desktop\\New folder\\");
String fi=in.nextLine();
String dataFileName = fi.concat("12.tsv");
BufferedReader bReader = new BufferedReader(new FileReader(dataFileName));
String line;
ArrayList<String> skus = new ArrayList<String>();
ArrayList<String> list = new ArrayList<String>();
ArrayList<String> list1 = new ArrayList<String>();
while ((line = bReader.readLine()) != null)
{
String datavalue[] = line.split("\t");
skus.add(datavalue[0]);
list.add(datavalue[1]);
list1.add(datavalue[2]);
}
bReader.close();
File file = new File(fi.concat("output.txt"));
PrintWriter output = new PrintWriter(file);
ArrayList<String> out1 = new ArrayList<String>();
list1.size();
int k=0;
for (int j=0;j<100;j++)
{
try{
String fu=list1.get(j);
String su=list.get(j);
URL url = new URL(fu);
image = ImageIO.read(url);
ImageIO.write(image, "jpg",new File(fi.concat(("1.jpg"))));
URL url1 = new URL(su);
image = ImageIO.read(url1);
ImageIO.write(image, "jpg",new File(fi.concat("2.jpg")));
for(int i=1;i<=2;i++)
{
if(i==1)
{
BufferedImage originalImage = ImageIO.read(new File(fi.concat("1.jpg")));
int type = originalImage.getType() == 0? BufferedImage.TYPE_INT_RGB : originalImage.getType();
BufferedImage resizeImageJpg = resizeImage(originalImage, type);
ImageIO.write(resizeImageJpg, "jpg", new File(fi.concat("4.jpg")));
}
if(i==2)
{
BufferedImage originalImage = ImageIO.read(new File(fi.concat("2.jpg")));
int type = originalImage.getType() == 0? BufferedImage.TYPE_INT_RGB : originalImage.getType();
BufferedImage resizeImageJpg = resizeImage(originalImage, type);
ImageIO.write(resizeImageJpg, "jpg", new File(fi.concat("5.jpg")));
}
}
//color
BufferedImage biA= ImageIO.read(new File(fi.concat("4.jpg")));
DataBuffer dbA = biA.getData().getDataBuffer();
int sizeA = dbA.getSize();
//color
BufferedImage biB= ImageIO.read(new File(fi.concat("5.jpg")));
DataBuffer dbB = biB.getData().getDataBuffer();
int sizeB = dbB.getSize();
for(int i=1;i<=2;i++)
{
if(i==1)
{
BufferedImage input = ImageIO.read(new File(fi.concat("4.jpg")));
// Create a black-and-white image of the same size.
BufferedImage im =new BufferedImage(150,150,BufferedImage.TYPE_BYTE_BINARY);
// Get the graphics context for the black-and-white image.
Graphics2D g2d = im.createGraphics();
// Render the input image on it.
g2d.drawImage(input,0,0,null);
// Store the resulting image using the PNG format.
ImageIO.write(im,"jpg",new File(fi.concat("44.jpg")));
}
if(i==2)
{
BufferedImage input = ImageIO.read(new File(fi.concat("5.jpg")));
// Create a black-and-white image of the same size.
BufferedImage im =new BufferedImage(150,150,BufferedImage.TYPE_BYTE_BINARY);
// Get the graphics context for the black-and-white image.
Graphics2D g2d = im.createGraphics();
// Render the input image on it.
g2d.drawImage(input,0,0,null);
// Store the resulting image using the PNG format.
ImageIO.write(im,"jpg",new File(fi.concat("55.jpg")));
}}
BufferedImage fbw1= ImageIO.read(new File(fi.concat("44.jpg")));
DataBuffer db_fbw1 = fbw1.getData().getDataBuffer();
int sizeA_fbw1 = db_fbw1.getSize();
BufferedImage sbw1= ImageIO.read(new File(fi.concat("55.jpg")));
DataBuffer db_sbw1 = sbw1.getData().getDataBuffer();
int sizeA_sbw1 = db_sbw1.getSize();
int[] abw=new int[(sizeA_fbw1)];
int[] bbw=new int[(sizeA_fbw1)];
for(int i=0; i<(sizeA_fbw1); i++)
{
abw[i]=db_fbw1.getElem(i); bbw[i]=db_sbw1.getElem(i);
}
int lol=0;
int abw_tot=0; int bbw_tot=0;
for(int i=0; i<(sizeA_fbw1); i++)
{
abw_tot=abw_tot+abw[i]; bbw_tot=bbw_tot+bbw[i];
}
float fst_bw=(abw_tot-bbw_tot);
if(fst_bw<0) fst_bw=fst_bw*(-1);
float finalbw=((fst_bw/abw_tot)*100);
if(finalbw<15)
{
int[] a=new int[16875];
int[] b=new int[16875];
int[] c=new int[16875];
int[] d=new int[16875];
int[] w=new int[16875];
int[] x=new int[16875];
int[] y=new int[16875];
int[] z=new int[16875];
int lo=0;
for(int i=0; i<16875; i++)
{
a[lo]=dbA.getElem(i); w[lo]=dbB.getElem(i);
lo++;
}
lo=0;
for(int i=16875; i<(16874*2); i++)
{
b[lo]=dbA.getElem(i); x[lo]=dbB.getElem(i);
lo++;
}
lo=0;
for(int i=(16874*2); i<(16874*3); i++)
{
c[lo]=dbA.getElem(i); y[lo]=dbB.getElem(i);
lo++;
}
lo=0;
for(int i=(16874*3); i<(16874*4); i++)
{
d[lo]=dbA.getElem(i); z[lo]=dbB.getElem(i);
lo++;
}
float a1=0,b1=0,c1=0,d1=0,w1=0,x1=0,y1=0,z1=0;
for(int i=0; i<16875; i++)
{
a1=a[i]+a1; w1=w[i]+w1;
}
for(int i=0; i<16875; i++)
{
b1=b[i]+b1; x1=x[i]+x1;
}
for(int i=0; i<16875; i++)
{
c1=c[i]+c1; y1=y[i]+y1;
}
for(int i=0; i<16875; i++)
{
d1=d[i]+d1; z1=z[i]+z1;
}
float fst=(a1-w1);
float snd=(b1-x1);
float thd=(c1-y1);
float fth=(d1-z1);
if(fst<0) fst=fst*(-1);
if(snd<0) snd=snd*(-1);
if(thd<0) thd=thd*(-1);
if(fth<0) fth=fth*(-1);
float fst1=(w1-a1);
float snd1=(x1-b1);
float thd1=(y1-c1);
float fth1=(z1-d1);
if(fst1<0) fst1=fst1*(-1);
if(snd1<0) snd1=snd1*(-1);
if(thd1<0) thd1=thd1*(-1);
if(fth1<0) fth1=fth1*(-1);
float oo1=((fst1/a1)*100);
float oo2=((snd1/b1)*100);
float oo3=((thd1/c1)*100);
float oo4=((fth1/d1)*100);
float o1=((fst/a1)*100);
float o2=((snd/b1)*100);
float o3=((thd/c1)*100);
float o4=((fth/d1)*100);
String opt=new String("correct");
String opt1=new String("incorrect");
String result=null;
String skuurl=fu.concat(su);
boolean nasku=skuurl.contains("notavailable");
boolean nasku1=skuurl.contains("genericComingSoon");
boolean nasku2=skuurl.contains("splssku");
if (o1<15 && o2<15 && o3<15 && o4<15 )
{
if (oo1<15 && oo2<15 && oo3<15 && oo4<15 )
{
result=opt;
if(nasku || nasku1 || nasku2)
result="Image_n/a";
System.out.println(result+" "+o1+" "+o2+" "+o3+" "+o4);
}
}
if (o1>15 || o2>15 || o3>15 || o4>15)
{
if (oo1>15 || oo2>15 || oo3>15 || oo4>15)
{
result=opt1;
if(nasku || nasku1 || nasku2)
result="Image_n/a";
System.out.println(result+" "+o1+" "+o2+" "+o3+" "+o4);
}
}
output.println(skus.get(j)+" " +result+" "+o1+" "+o2+" "+o3+" "+o4);
out1.add(result);
k++;
}
if(finalbw>15)
{
System.out.println(finalbw+" "+"incorrect");
output.println(skus.get(j)+" incorrect");
}}
catch (Exception al)
{
System.out.println(skus.get(j)+" image read error");
output.println(skus.get(j)+" image read error");
}
}output.close();}
}
Including b/w & color images for comparison
Including black , white & color images for comparison
import java.awt.Graphics2D;
import java.awt.image.BufferedImage;
import java.awt.image.DataBuffer;
import java.io.BufferedWriter;
import java.io.File;
import java.io.FileWriter;
import java.io.IOException;
import java.io.PrintWriter;
import java.net.URL;
import java.util.ArrayList;
import java.util.Scanner;
import javax.imageio.ImageIO;
public class own
{
private static BufferedImage image;
private static final int IMG_WIDTH = 150;
private static final int IMG_HEIGHT = 150;
private static BufferedImage resizeImage(BufferedImage originalImage, int type){
BufferedImage resizedImage = new BufferedImage(IMG_WIDTH, IMG_HEIGHT, type);
Graphics2D g = resizedImage.createGraphics();
g.drawImage(originalImage, 0, 0, IMG_WIDTH, IMG_HEIGHT, null);
g.dispose();
return resizedImage;
}
public static void main(String[] args) throws IOException
{
Scanner in=new Scanner(System.in);
System.out.println("\n\n\t\t Welcome User\n");
System.out.println("Enter Folder location (e.x) C:\\\\Users\\\\mukunthan.g2\\\\Desktop\\\\New folder\\\\");
//System.out.println("(e.x) C:\\Users\\mukunthan.g2\\Desktop\\New folder\\");
String fi=in.next();
Scanner s = new Scanner(new File(fi.concat("1.txt")));
Scanner s1 = new Scanner(new File(fi.concat("2.txt")));
Scanner sku = new Scanner(new File(fi.concat("3.txt")));
File file = new File(fi.concat("output.txt"));
PrintWriter output = new PrintWriter(file);
ArrayList<String> list = new ArrayList<String>();
ArrayList<String> out1 = new ArrayList<String>();
while (s.hasNext()){
list.add(s.next());
}
s.close();
ArrayList<String> list1 = new ArrayList<String>();
while (s1.hasNext()){
list1.add(s1.next());
}
s.close();
ArrayList<String> skus = new ArrayList<String>();
while (sku.hasNext()){
skus.add(sku.next());
}
s.close();
int k=0;
list1.size();
for (int j=0;j<list1.size();j++)
{
String fu=list1.get(j);
String su=list.get(j);
try{
URL url = new URL(fu);
image = ImageIO.read(url);
ImageIO.write(image, "jpg",new File(fi.concat(("1.jpg"))));
}
catch (Exception e1)
{
BufferedImage originalImage = ImageIO.read(new File(fi.concat(("bk.jpg"))));
int type = originalImage.getType() == 0? BufferedImage.TYPE_INT_RGB : originalImage.getType();
BufferedImage resizeImageJpg = resizeImage(originalImage, type);
ImageIO.write(resizeImageJpg, "jpg", new File(fi.concat("1.jpg")));
}
try{
URL url1 = new URL(su);
image = ImageIO.read(url1);
ImageIO.write(image, "jpg",new File(fi.concat("2.jpg")));
}
catch (Exception e2)
{
BufferedImage originalImage = ImageIO.read(new File(fi.concat("wt.jpg")));
int type = originalImage.getType() == 0? BufferedImage.TYPE_INT_RGB : originalImage.getType();
BufferedImage resizeImageJpg = resizeImage(originalImage, type);
ImageIO.write(resizeImageJpg, "jpg", new File(fi.concat("5.jpg")));
}
for(int i=1;i<=2;i++)
{
if(i==1)
{
try{
BufferedImage originalImage = ImageIO.read(new File(fi.concat("1.jpg")));
int type = originalImage.getType() == 0? BufferedImage.TYPE_INT_RGB : originalImage.getType();
BufferedImage resizeImageJpg = resizeImage(originalImage, type);
ImageIO.write(resizeImageJpg, "jpg", new File(fi.concat("4.jpg")));
}
catch (Exception e)
{
BufferedImage originalImage = ImageIO.read(new File(fi.concat(fi.concat("bk.jpg"))));
int type = originalImage.getType() == 0? BufferedImage.TYPE_INT_RGB : originalImage.getType();
BufferedImage resizeImageJpg = resizeImage(originalImage, type);
ImageIO.write(resizeImageJpg, "jpg", new File(fi.concat("4.jpg")));
}
}
if(i==2)
{
try{
BufferedImage originalImage = ImageIO.read(new File(fi.concat("2.jpg")));
int type = originalImage.getType() == 0? BufferedImage.TYPE_INT_RGB : originalImage.getType();
BufferedImage resizeImageJpg = resizeImage(originalImage, type);
ImageIO.write(resizeImageJpg, "jpg", new File(fi.concat("5.jpg")));
}
catch (Exception e)
{
BufferedImage originalImage = ImageIO.read(new File(fi.concat("wt.jpg")));
int type = originalImage.getType() == 0? BufferedImage.TYPE_INT_RGB : originalImage.getType();
BufferedImage resizeImageJpg = resizeImage(originalImage, type);
ImageIO.write(resizeImageJpg, "jpg", new File(fi.concat("5.jpg")));
}
}
}
//color
BufferedImage biA= ImageIO.read(new File(fi.concat("4.jpg")));
DataBuffer dbA = biA.getData().getDataBuffer();
int sizeA = dbA.getSize();
//color
BufferedImage biB= ImageIO.read(new File(fi.concat("5.jpg")));
DataBuffer dbB = biB.getData().getDataBuffer();
int sizeB = dbB.getSize();
for(int i=1;i<=2;i++)
{
if(i==1)
{
BufferedImage input = ImageIO.read(new File(fi.concat("4.jpg")));
// Create a black-and-white image of the same size.
BufferedImage im =new BufferedImage(150,150,BufferedImage.TYPE_BYTE_BINARY);
// Get the graphics context for the black-and-white image.
Graphics2D g2d = im.createGraphics();
// Render the input image on it.
g2d.drawImage(input,0,0,null);
// Store the resulting image using the PNG format.
ImageIO.write(im,"jpg",new File(fi.concat("44.jpg")));
}
if(i==2)
{
BufferedImage input = ImageIO.read(new File(fi.concat("5.jpg")));
// Create a black-and-white image of the same size.
BufferedImage im =new BufferedImage(150,150,BufferedImage.TYPE_BYTE_BINARY);
// Get the graphics context for the black-and-white image.
Graphics2D g2d = im.createGraphics();
// Render the input image on it.
g2d.drawImage(input,0,0,null);
// Store the resulting image using the PNG format.
ImageIO.write(im,"jpg",new File(fi.concat("55.jpg")));
}}
BufferedImage fbw1= ImageIO.read(new File(fi.concat("44.jpg")));
DataBuffer db_fbw1 = fbw1.getData().getDataBuffer();
int sizeA_fbw1 = db_fbw1.getSize();
BufferedImage sbw1= ImageIO.read(new File(fi.concat("55.jpg")));
DataBuffer db_sbw1 = sbw1.getData().getDataBuffer();
int sizeA_sbw1 = db_sbw1.getSize();
int[] abw=new int[(sizeA_fbw1)];
int[] bbw=new int[(sizeA_fbw1)];
for(int i=0; i<(sizeA_fbw1); i++)
{
abw[i]=db_fbw1.getElem(i); bbw[i]=db_sbw1.getElem(i);
}
int lol=0;
int abw_tot=0; int bbw_tot=0;
for(int i=0; i<(sizeA_fbw1); i++)
{
abw_tot=abw_tot+abw[i]; bbw_tot=bbw_tot+bbw[i];
}
float fst_bw=(abw_tot-bbw_tot);
if(fst_bw<0) fst_bw=fst_bw*(-1);
float finalbw=((fst_bw/abw_tot)*100);
System.out.println(finalbw);
if(finalbw<15)
{
int[] a=new int[16875];
int[] b=new int[16875];
int[] c=new int[16875];
int[] d=new int[16875];
int[] w=new int[16875];
int[] x=new int[16875];
int[] y=new int[16875];
int[] z=new int[16875];
int lo=0;
for(int i=0; i<16875; i++)
{
a[lo]=dbA.getElem(i); w[lo]=dbB.getElem(i);
lo++;
}
lo=0;
for(int i=16875; i<(16874*2); i++)
{
b[lo]=dbA.getElem(i); x[lo]=dbB.getElem(i);
lo++;
}
lo=0;
for(int i=(16874*2); i<(16874*3); i++)
{
c[lo]=dbA.getElem(i); y[lo]=dbB.getElem(i);
lo++;
}
lo=0;
for(int i=(16874*3); i<(16874*4); i++)
{
d[lo]=dbA.getElem(i); z[lo]=dbB.getElem(i);
lo++;
}
float a1=0,b1=0,c1=0,d1=0,w1=0,x1=0,y1=0,z1=0;
for(int i=0; i<16875; i++)
{
a1=a[i]+a1; w1=w[i]+w1;
}
for(int i=0; i<16875; i++)
{
b1=b[i]+b1; x1=x[i]+x1;
}
for(int i=0; i<16875; i++)
{
c1=c[i]+c1; y1=y[i]+y1;
}
for(int i=0; i<16875; i++)
{
d1=d[i]+d1; z1=z[i]+z1;
}
float fst=(a1-w1);
float snd=(b1-x1);
float thd=(c1-y1);
float fth=(d1-z1);
if(fst<0) fst=fst*(-1);
if(snd<0) snd=snd*(-1);
if(thd<0) thd=thd*(-1);
if(fth<0) fth=fth*(-1);
float fst1=(w1-a1);
float snd1=(x1-b1);
float thd1=(y1-c1);
float fth1=(z1-d1);
if(fst1<0) fst1=fst1*(-1);
if(snd1<0) snd1=snd1*(-1);
if(thd1<0) thd1=thd1*(-1);
if(fth1<0) fth1=fth1*(-1);
float oo1=((fst1/a1)*100);
float oo2=((snd1/b1)*100);
float oo3=((thd1/c1)*100);
float oo4=((fth1/d1)*100);
float o1=((fst/a1)*100);
float o2=((snd/b1)*100);
float o3=((thd/c1)*100);
float o4=((fth/d1)*100);
String opt=new String("correct");
String opt1=new String("incorrect");
String result=null;
if (o1<15 && o2<15 && o3<15 && o4<15 )
{
if (oo1<15 && oo2<15 && oo3<15 && oo4<15 )
{
result=opt;
System.out.println(opt+" "+o1+" "+o2+" "+o3+" "+o4);
}
}
if (o1>15 || o2>15 || o3>15 || o4>15)
{
if (oo1>15 || oo2>15 || oo3>15 || oo4>15)
{
result=opt1;
System.out.println(opt1+" "+o1+" "+o2+" "+o3+" "+o4);
}
}
output.println(skus.get(j)+" " +result+" "+o1+" "+o2+" "+o3+" "+o4);
out1.add(result);
k++;
}
if(finalbw>15)
{
output.println(skus.get(j)+" incorrect");
}
}output.close();}
/*catch(Exception e)
{
System.out.println("error at "+(k+1) + " url");
output.close();
for (int i=0;i<out1.size();i++)
{
output.println(skus.get(i)+" "+out1.get(i));
}
}*/
}
Histogram deviation in java
import java.awt.Graphics2D;
import java.awt.image.BufferedImage;
import java.awt.image.DataBuffer;
import java.io.File;
import java.io.IOException;
import java.net.URL;
import java.util.ArrayList;
import java.util.Scanner;
import javax.imageio.ImageIO;
public class own {
private static BufferedImage image;
private static final int IMG_WIDTH = 100;
private static final int IMG_HEIGHT = 100;
private static BufferedImage resizeImage(BufferedImage originalImage, int type){
BufferedImage resizedImage = new BufferedImage(IMG_WIDTH, IMG_HEIGHT, type);
Graphics2D g = resizedImage.createGraphics();
g.drawImage(originalImage, 0, 0, IMG_WIDTH, IMG_HEIGHT, null);
g.dispose();
return resizedImage;
}
public static void main(String[] args) throws IOException
{
Scanner s = new Scanner(new File("C:\\Users\\manoj\\Desktop\\1.txt"));
Scanner s1 = new Scanner(new File("C:\\Users\\manoj\\Desktop\\2.txt"));
ArrayList<String> list = new ArrayList<String>();
while (s.hasNext()){
list.add(s.next());
}
s.close();
ArrayList<String> list1 = new ArrayList<String>();
while (s1.hasNext()){
list1.add(s1.next());
}
s.close();
int n=list1.size();
for (int j=0;j<n;j++)
{
String fu=list1.get(j);
String su=list.get(j);
URL url = new URL(fu);
image = ImageIO.read(url);
ImageIO.write(image, "jpg",new File("C:\\Users\\manoj\\Desktop\\1.jpg"));
URL url1 = new URL(su);
image = ImageIO.read(url1);
ImageIO.write(image, "jpg",new File("C:\\Users\\manoj\\Desktop\\2.jpg"));
for(int i=1;i<=2;i++)
{
if(i==1)
{
BufferedImage originalImage = ImageIO.read(new File("C:\\Users\\manoj\\Desktop\\1.jpg"));
int type = originalImage.getType() == 0? BufferedImage.TYPE_INT_ARGB : originalImage.getType();
BufferedImage resizeImageJpg = resizeImage(originalImage, type);
ImageIO.write(resizeImageJpg, "jpg", new File("C:\\Users\\manoj\\Desktop\\4.jpg"));
}
if(i==2)
{
BufferedImage originalImage = ImageIO.read(new File("C:\\Users\\manoj\\Desktop\\2.jpg"));
int type = originalImage.getType() == 0? BufferedImage.TYPE_INT_ARGB : originalImage.getType();
BufferedImage resizeImageJpg = resizeImage(originalImage, type);
ImageIO.write(resizeImageJpg, "jpg", new File("C:\\Users\\manoj\\Desktop\\5.jpg"));
}
}
BufferedImage biA= ImageIO.read(new File("C:\\Users\\manoj\\Desktop\\4.jpg"));
DataBuffer dbA = biA.getData().getDataBuffer();
int sizeA = dbA.getSize();
BufferedImage biB= ImageIO.read(new File("C:\\Users\\manoj\\Desktop\\5.jpg"));
DataBuffer dbB = biB.getData().getDataBuffer();
int sizeB = dbB.getSize();
int[] a =new int[sizeA];
int[] b=new int[sizeB];
int a1=0, b1=0;
for(int i=0; i<sizeA; i++) {
a[i]=dbA.getElem(i);
}
for(int i=0; i<sizeB; i++) {
b[i]=dbB.getElem(i);
}
for(int i=0; i<sizeA; i++)
{
if(a[i]==255)
a1=0+a1;
else
a1=a[i]+a1;
}
for(int i=0; i<sizeB; i++)
{
if(b[i]==255)
b1=0+b1;
else
b1=b[i]+b1;
}
int o1= (a1/sizeA);
int o2=(b1/sizeB);
int dev=(o1-o2);
System.out.println("Histogram deviation is "+(dev));
n++;
}
}
}
Resizing multiple images using MATLAB
Get all the image files that are need to be re sized in matlab current directory and run this code
dirData = dir('*.jpg');
fileNames = {dirData.name};
for iFile = 1:numel(fileNames)
newName = sprintf('%1d.jpg',iFile);
movefile(fileNames{iFile},newName);
end
After renaming the files (by running above program ) run this code
q=1;
p=1;
for i=1:10
oq=imread(strcat(num2str(q),'.jpg'));
odprz=imresize(oq,[150 150]); %# specify your size here
imwrite(odprz,strcat(num2str(p),'.png'));
q=q+1;
p=p+1;
end
collect only .png format files.That files are re-sized files.
Automated image comparison using MATLAB
Automated image
comparison using MATLAB
MAIN MOTIVE
This project presents the new machine learning process on images. In competitive intelligence information comparison the text analytic decides the product match type to enhance that automation process image comparison of the products is automated and presented here. Here the corner detection and comparison on images is used to compare the images.
USE
CASES
Mainly developed
for competitive intelligence (i.e.) to compare online marketing client and
competitor images.
Considerations
To compare images in large amount if we download images and compare the
space needed will be more to overcome that scenario the image URLs are used
from both client and competitor side. Images can be of any format in the case
of comparison of images from URLs.
If input is image URLs mean that should be in excel file and output
status of images equal or not equal will be stored in the specified column of
excel sheet.
If images are stored in drives mean other process like renaming of images
will be followed to get the images into the code execution. (Pre-processing is needed)
PROCESS
FLOW
Example images processed
COMPARISON DURING EXECUTION
OUTPUT
output will be stored in excel sheet.
status 1: equal
status 2: not equal
*********************************************************************************
q=2; %% source image name ('2.jpg')
w=2; %% another image ('2.png')
sd=1;
for i=1:1
hIdtc = video.ImageDataTypeConverter();
hCsc = video.ColorSpaceConverter('Conversion','RGB to intensity');
oq=imread(strcat(num2str(q),'.jpg'));
odprz=imresize(oq,[150 150]);
imwrite(odprz,'oq1.jpg');
leftI3chan = step(hIdtc,imread('oq1.jpg'));
leftI = step(hCsc,leftI3chan);
disp(leftI)
sw=imread(strcat(num2str(w),'.png'));
stprz=imresize(sw,[150 150]);
imwrite(stprz,'sw1.png');
rightI3chan = step(hIdtc,imread('sw1.png'));
rightI = step(hCsc,rightI3chan);
harris = video.CornerDetector( 'MaximumCornerCount', 1000, ...
'CornerThreshold', 1e-4, ...
'NeighborhoodSize', [9 9] );
pointsLeft = flipud(step(harris, leftI))+1;
pointsRight = flipud(step(harris, rightI))+1;
% Trim point lists to minimum size.
pointsLeft = pointsLeft(:, 1:find(all(pointsLeft==1,1),1) - 1);
pointsRight = pointsRight(:, 1:find(all(pointsRight==1,1),1) - 1);
halfBlockSize = 4; % Block half-size.
blockSize = 2*halfBlockSize+1; % Full block size.
[r,c] = size(leftI);
matchThreshold = 0.7;
% Extract features for pointsRight
features = zeros(blockSize^2,size(pointsRight,2), 'single');
for i=1:size(pointsRight,2)
T = zeros(blockSize, 'single');
minr = max(1,pointsRight(2,i)-halfBlockSize);
maxr = min(r,pointsRight(2,i)+halfBlockSize);
minc = max(1,pointsRight(1,i)-halfBlockSize);
maxc = min(c,pointsRight(1,i)+halfBlockSize);
T( halfBlockSize+1-(pointsRight(2,i)-minr):halfBlockSize+1+(maxr-pointsRight(2,i)), ...
halfBlockSize+1-(pointsRight(1,i)-minc):halfBlockSize+1+(maxc-pointsRight(1,i)) ) = ...
rightI( minr:maxr, minc:maxc );
features(:,i) = T(:);
end
% Loop over pointsLeft, looking for best matches in pointsRight via features.
ix1 = zeros(1,size(pointsLeft,2), 'single');
d = zeros(size(ix1), 'single');
for i=1:size(pointsLeft,2)
T = zeros(blockSize, 'single');
minr = max(1,pointsLeft(2,i)-halfBlockSize);
maxr = min(r,pointsLeft(2,i)+halfBlockSize);
minc = max(1,pointsLeft(1,i)-halfBlockSize);
maxc = min(c,pointsLeft(1,i)+halfBlockSize);
T( halfBlockSize+1-(pointsLeft(2,i)-minr):halfBlockSize+1+(maxr-pointsLeft(2,i)), ...
halfBlockSize+1-(pointsLeft(1,i)-minc):halfBlockSize+1+(maxc-pointsLeft(1,i)) ) = ...
leftI( minr:maxr, minc:maxc );
% Find matching point in pointsRight with features features.
[v,ix] = min( sum(bsxfun(@minus,features,T(:)).^2,1) );
if v < matchThreshold
ix1(i) = ix;
end
end
% Extract indices of matched points on each side.
ix2 = nonzeros(ix1);
ix1 = find(ix1);
% Create subselected, homogenized point lists.
pointsLeftH = [double(pointsLeft(:,ix1)); ones(1,length(ix1), 'single')];
pointsRightH = [double(pointsRight(:,ix2)); ones(1,length(ix2), 'single')];
figure(1), clf;
imshow(cat(3,rightI,leftI,leftI)), hold on;
plot(pointsLeftH(1,:),pointsLeftH(2,:),'x','Color',[0 0 1],'MarkerSize',8);
plot(pointsRightH(1,:),pointsRightH(2,:),'x','Color',[1 1 0],'MarkerSize',8);
plot([pointsLeftH(1,:);pointsRightH(1,:)],...
[pointsLeftH(2,:);pointsRightH(2,:)],'-','Color',[0 1 0]);
set(gca,'XTick',[],'YTick',[]);
title('Initial corresponded points between the two images');
d1=mean(pointsRightH);
d2=mean(pointsRightH);
t1=mode(d2);
t2=mode(d1);
if t1 == t2 %% modify here put one extra loop if t1<5 means result will be not a match(for better comparison)
result={'exact'};
disp(result)
else
result={'not found'};
disp(result)
end
xlswrite('myfile.xls',result,'sheet1',strcat('A',num2str(sd))) %% excel file to store result
q=q+1;
w=w+1;
sd=sd+1;
end
*********************************************************************************
q=2; %% source image name ('2.jpg')
w=2; %% another image ('2.png')
sd=1;
for i=1:1
hIdtc = video.ImageDataTypeConverter();
hCsc = video.ColorSpaceConverter('Conversion','RGB to intensity');
oq=imread(strcat(num2str(q),'.jpg'));
odprz=imresize(oq,[150 150]);
imwrite(odprz,'oq1.jpg');
leftI3chan = step(hIdtc,imread('oq1.jpg'));
leftI = step(hCsc,leftI3chan);
disp(leftI)
sw=imread(strcat(num2str(w),'.png'));
stprz=imresize(sw,[150 150]);
imwrite(stprz,'sw1.png');
rightI3chan = step(hIdtc,imread('sw1.png'));
rightI = step(hCsc,rightI3chan);
harris = video.CornerDetector( 'MaximumCornerCount', 1000, ...
'CornerThreshold', 1e-4, ...
'NeighborhoodSize', [9 9] );
pointsLeft = flipud(step(harris, leftI))+1;
pointsRight = flipud(step(harris, rightI))+1;
% Trim point lists to minimum size.
pointsLeft = pointsLeft(:, 1:find(all(pointsLeft==1,1),1) - 1);
pointsRight = pointsRight(:, 1:find(all(pointsRight==1,1),1) - 1);
halfBlockSize = 4; % Block half-size.
blockSize = 2*halfBlockSize+1; % Full block size.
[r,c] = size(leftI);
matchThreshold = 0.7;
% Extract features for pointsRight
features = zeros(blockSize^2,size(pointsRight,2), 'single');
for i=1:size(pointsRight,2)
T = zeros(blockSize, 'single');
minr = max(1,pointsRight(2,i)-halfBlockSize);
maxr = min(r,pointsRight(2,i)+halfBlockSize);
minc = max(1,pointsRight(1,i)-halfBlockSize);
maxc = min(c,pointsRight(1,i)+halfBlockSize);
T( halfBlockSize+1-(pointsRight(2,i)-minr):halfBlockSize+1+(maxr-pointsRight(2,i)), ...
halfBlockSize+1-(pointsRight(1,i)-minc):halfBlockSize+1+(maxc-pointsRight(1,i)) ) = ...
rightI( minr:maxr, minc:maxc );
features(:,i) = T(:);
end
% Loop over pointsLeft, looking for best matches in pointsRight via features.
ix1 = zeros(1,size(pointsLeft,2), 'single');
d = zeros(size(ix1), 'single');
for i=1:size(pointsLeft,2)
T = zeros(blockSize, 'single');
minr = max(1,pointsLeft(2,i)-halfBlockSize);
maxr = min(r,pointsLeft(2,i)+halfBlockSize);
minc = max(1,pointsLeft(1,i)-halfBlockSize);
maxc = min(c,pointsLeft(1,i)+halfBlockSize);
T( halfBlockSize+1-(pointsLeft(2,i)-minr):halfBlockSize+1+(maxr-pointsLeft(2,i)), ...
halfBlockSize+1-(pointsLeft(1,i)-minc):halfBlockSize+1+(maxc-pointsLeft(1,i)) ) = ...
leftI( minr:maxr, minc:maxc );
% Find matching point in pointsRight with features features.
[v,ix] = min( sum(bsxfun(@minus,features,T(:)).^2,1) );
if v < matchThreshold
ix1(i) = ix;
end
end
% Extract indices of matched points on each side.
ix2 = nonzeros(ix1);
ix1 = find(ix1);
% Create subselected, homogenized point lists.
pointsLeftH = [double(pointsLeft(:,ix1)); ones(1,length(ix1), 'single')];
pointsRightH = [double(pointsRight(:,ix2)); ones(1,length(ix2), 'single')];
figure(1), clf;
imshow(cat(3,rightI,leftI,leftI)), hold on;
plot(pointsLeftH(1,:),pointsLeftH(2,:),'x','Color',[0 0 1],'MarkerSize',8);
plot(pointsRightH(1,:),pointsRightH(2,:),'x','Color',[1 1 0],'MarkerSize',8);
plot([pointsLeftH(1,:);pointsRightH(1,:)],...
[pointsLeftH(2,:);pointsRightH(2,:)],'-','Color',[0 1 0]);
set(gca,'XTick',[],'YTick',[]);
title('Initial corresponded points between the two images');
d1=mean(pointsRightH);
d2=mean(pointsRightH);
t1=mode(d2);
t2=mode(d1);
if t1 == t2 %% modify here put one extra loop if t1<5 means result will be not a match(for better comparison)
result={'exact'};
disp(result)
else
result={'not found'};
disp(result)
end
xlswrite('myfile.xls',result,'sheet1',strcat('A',num2str(sd))) %% excel file to store result
q=q+1;
w=w+1;
sd=sd+1;
end
********************************** THANK YOU***********************************
Your valid suggestions are anticipated to enhance the program.
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