问删除图像中的小背景(黑色)区域

EN

import cv2
import numpy as np 

ornament_image = cv2.imread("/Users/anmoluppal/Desktop/outputs/ornament.jpg")

#Considering the black range of background pixels
thresh = cv2.inRange(ornament_image, np.array([0, 0, 0]), np.array([55, 55, 55]))

contours, hierarchy = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_NONE)

cv2.drawContours(ornament_image, contours, -1, (255,255,255), -1)
#Replace the contours with the white color same as the background

thresh = cv2.inRange(ornament_image, np.array([0, 0, 0]), np.array([55, 55, 55]))

contours, hierarchy = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_NONE)

contours = sorted(contours, key = cv2.contourArea, reverse = True)[:len(contours)/20]

cv2.drawContours(ornament_image, contours, -1, (255,255,255), -1)

#include <iostream>
#include "opencv2/opencv.hpp"
#include <stdio.h>

using namespace std;
using namespace cv;

Mat thresh, hierarchy;

void onMouse( int event, int x, int y, int flags, void* imgptr ){
    if ( flags == (EVENT_FLAG_CTRLKEY + EVENT_FLAG_LBUTTON) ) //Sure Background - Red
        {

       Mat & img = (*(Mat*)imgptr); // first cast, then deref
       Point pt1 = Point(x, y);
       circle(img, pt1, 7, Scalar(0,0,255), -1, 8);
       imshow("Mark Image", img);
       waitKey(1);
        }
}

int main ()
{
    int i =0;

    Mat src = imread("C:/Users/Dell/Desktop/computervisionproject/segmentation/segmentation/Final_window.jpg",1);
    Mat image = src.clone();

    namedWindow("Mark Image",WINDOW_NORMAL);
    setMouseCallback("Mark Image",onMouse, &image);
    imshow("Mark Image",image);

    while(1){
    char c=waitKey();
    if(c=='s'){
    inRange(image, cv::Scalar(0, 0, 0), cv::Scalar(55, 55, 55), thresh);

    std::vector<std::vector<cv::Point> > contours;
    findContours(thresh,contours, hierarchy, CV_RETR_TREE ,CV_CHAIN_APPROX_NONE);
    //findContours(thresh,contours, CV_RETR_TREE ,CV_CHAIN_APPROX_NONE);
    cout <<"Hello"<<endl;


    drawContours(src, contours, -1, Scalar(255,255,255), -1);

    namedWindow( "Display window", WINDOW_NORMAL );
    imshow( "Display window", src);
    }
    }

    waitKey();
    return 0;
}