While Finding A Difference Between 2 Pictures Opencv Difference Is Bigger Than It Is Supposed To Be

I'm working with OpenCV (in Android NDK) and I have a problem. I want to find differences between two pictures, and than cut the difference. However, following output made differen

Solution 1:

My result in python:

# 2017.12.22 15:48:03 CST# 2017.12.22 16:12:26 CST

import cv2
import numpy as np

img1 = cv2.imread("img1.png")
img2 = cv2.imread("img2.png")
diff = cv2.absdiff(img1, img2)
gray = cv2.cvtColor(diff, cv2.COLOR_BGR2GRAY)

## find the nozero regions in the gray
imask =  gray>0

## create a Mat like img2
canvas = np.zeros_like(img2, np.uint8)

## set mask 
canvas[imask] = img2[imask]
cv2.imwrite("result.png", canvas)

---

Update with c++

//! 2017.12.22 17:05:18 CST//! 2017.12.22 17:22:32 CST#include<opencv2/opencv.hpp>#include<iostream>usingnamespace std;
usingnamespace cv;
intmain(){

    Mat img1 = imread("img1.png");
    Mat img2 = imread("img2.png");

    // calc the difference
    Mat diff;
    absdiff(img1, img2, diff);

    // Get the mask if difference greater than thint th = 10;  // 0Mat mask(img1.size(), CV_8UC1);
    for(int j=0; j<diff.rows; ++j) {
        for(int i=0; i<diff.cols; ++i){
            cv::Vec3b pix = diff.at<cv::Vec3b>(j,i);
            int val = (pix[0] + pix[1] + pix[2]);
            if(val>th){
                mask.at<unsignedchar>(j,i) = 255;
            }
        }
    }

    // get the foreground
    Mat res;
    bitwise_and(img2, img2, res, mask);

    // displayimshow("res", res);
    waitKey();
    return0;
}

---

Similar answers:

1. CV - Extract differences between two images

2. While finding a difference between 2 pictures OpenCV difference is bigger than it is supposed to be

Solution 2:

From here: CV - Extract differences between two images

cv::Mat diffImage;
cv::absdiff(backgroundImage, currentImage, diffImage);

cv::Mat foregroundMask = cv::Mat::zeros(diffImage.rows, diffImage.cols, CV_8UC1);

float threshold = 30.0f;
float dist;

for(int j=0; j<diffImage.rows; ++j)
    for(int i=0; i<diffImage.cols; ++i)
    {
        cv::Vec3b pix = diffImage.at<cv::Vec3b>(j,i);

        dist = (pix[0]*pix[0] + pix[1]*pix[1] + pix[2]*pix[2]);
        dist = sqrt(dist);

        if(dist>threshold)
        {
            foregroundMask.at<unsignedchar>(j,i) = 255;
        }
    }

Then make background subtraction.

Solution 3:

I did it like this with a help of @Silencer as a concequence I got the right result. Hope this will help if anyone have a similar problem

      Mat& backgroundImage = *(Mat*) addrRgba;
      Mat& currentImage = *(Mat*) addrRgba2;
      Mat HSV_currentImage;
      Mat HSVbackgroundImagebg;
      Mat diffImage;
      cvtColor(backgroundImage, HSVbackgroundImagebg, CV_BGR2HSV);
      cvtColor(currentImage, HSV_currentImage, CV_BGR2HSV);
      absdiff(HSVbackgroundImagebg, HSV_currentImage, diffImage);
      Mat mask(diffImage.size(), CV_8UC1);
                float threshold = 30.0f;
                float dist;

                for(int j=0; j<diffImage.rows; ++j)
                    for(int i=0; i<diffImage.cols; ++i)
                    {
                        Vec3b pix = diffImage.at<cv::Vec3b>(j,i);
                        dist = (pix[0]*pix[0] + pix[1]*pix[1] + pix[2]*pix[2]);
                                    dist = sqrt(dist);
                        if(dist>threshold){
                          mask.at<unsignedchar>(j,i) = 255;
                        }

                    }

      Mat res;
      bitwise_and(currentImage, currentImage, res, mask);
      currentImage=res;