Topic: How to identify two similar images? (Read 154 times)

Thanks for sharing this OP, opencv and stuff like it is pretty cool. Might start messing around with opencv and pytesseract in python

wow nice, it's a great work, by the way I am not understanding the code but through direct compiler its a great work of you.

We can use Opencv to find the similar images,below is a simple java code

package com.company;

import org.opencv.core.*;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;

import java.util.Arrays;

public class FaceCompareMain {

    static CascadeClassifier faceDetector;

    static {
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
        faceDetector = new CascadeClassifier(
            "D:\\ib\\face-detact\\src\\com\\company\\haarcascade_frontalface_alt.xml");
    }

    public static void main(String[] args) {
        String basePicPath = "D:\\ib\\face-detact\\src\\pics\\";
        double compareHist = compare_image(basePicPath + "image_1.png", basePicPath + "image_2.png");
        System.out.println(compareHist);
        if (compareHist > 0.72) {
            System.out.println("matched!");
        } else {
            System.out.println("not match!");
        }
    }

    public static double compare_image(String img_1, String img_2) {
        Mat mat_1 = conv_Mat(img_1);
        Mat mat_2 = conv_Mat(img_2);

        Mat hist_1 = new Mat();
        Mat hist_2 = new Mat();

        MatOfFloat ranges = new MatOfFloat(0f, 256f);

        MatOfInt histSize = new MatOfInt(1000);

        Imgproc.calcHist(Arrays.asList(mat_1), new MatOfInt(0), new Mat(), hist_1, histSize, ranges);
        Imgproc.calcHist(Arrays.asList(mat_2), new MatOfInt(0), new Mat(), hist_2, histSize, ranges);

        double res = Imgproc.compareHist(hist_1, hist_2, Imgproc.CV_COMP_CORREL);
        return res;
    }

    // "D:\\ib\\face-detact\\src\\com\\company\\a1.jpg"
    private static Mat conv_Mat(String img_1) {
        Mat image0 = Imgcodecs.imread(img_1);

        Mat image = new Mat();
        Imgproc.cvtColor(image0, image, Imgproc.COLOR_BGR2GRAY);

        MatOfRect faceDetections = new MatOfRect();
        faceDetector.detectMultiScale(image, faceDetections);

        for (Rect rect : faceDetections.toArray()) {
            Mat mat = new Mat(image, rect);
            return mat;
        }
        return null;
    }

}
The sample similar images：
image1:https://image.emojipng.com/5/5.png
image2:https://image.emojipng.com/247/502247.png