OmerAslam's profile - activity

plz tell me how to solve this issue

I am getting foreground image from grabCut algorithm and then i apply below algorithm to smooth its edges. It is working fine and smoothing edges but it is also changing black color in the image.

You can see for this image it is working fine for this image but for this image it is changing black color
please tell me how to fix this.

This is my code for edge smoothing and i got it from Image edge smoothing with opencv

#include <iostream>
#include <vector>
#include <string>
#include <fstream>
#include <opencv2/opencv.hpp>

using namespace cv;
using namespace std;

int main(int argc, char **argv)
{
namedWindow("originalImage");
namedWindow("grabCutImage");
namedWindow("smoothImage");

Mat originalImage = imread("../data/original_image_1.jpg");
Mat grabCutImage = imread("../data/grab_cut_image_1.png"); // got from grabcut algorithm

originalImage.convertTo(originalImage, CV_32FC3, 1.0 / 255.0);
resize(originalImage, originalImage, grabCutImage.size());
grabCutImage.convertTo(grabCutImage, CV_32FC3, 1.0 / 255.0);

Mat bg = Mat(grabCutImage.size(), CV_32FC3);
bg = Scalar(1.0, 1.0, 1.0);

Mat mask;
Mat img_gray;
cvtColor(grabCutImage, img_gray, COLOR_BGR2GRAY);
img_gray.convertTo(mask, CV_32FC1);
threshold(1.0 - mask, mask, 0.9, 1.0, THRESH_BINARY_INV);

GaussianBlur(mask, mask, Size(21, 21), 11.0);

Mat smooth;

vector<Mat> ch_img(3);
vector<Mat> ch_bg(3);
split(originalImage, ch_img);
split(bg, ch_bg);
ch_img[0] = ch_img[0].mul(mask) + ch_bg[0].mul(1.0 - mask);
ch_img[1] = ch_img[1].mul(mask) + ch_bg[1].mul(1.0 - mask);
ch_img[2] = ch_img[2].mul(mask) + ch_bg[2].mul(1.0 - mask);
merge(ch_img, smooth);
merge(ch_bg, bg);

imshow("originalImage", originalImage);
imshow("grabCutImage", grabCutImage);
imshow("smoothImage", smooth);
waitKey(0);
destroyAllWindows();
}

here are images i am using

LBerger can u give me some code

I want to feathere smooth or blur image edges using opencv.

This is what i tried

int lowThreshold = 100;
int ratio = 3;
int kernelSize = 3;

Mat srcGray, cannyEdges, blurred;
cvtColor(input, srcGray, CV_BGR2GRAY);
blur(srcGray, cannyEdges, Size(3, 3));
Canny(cannyEdges, cannyEdges, lowThreshold, lowThreshold * ratio, kernelSize);

int dilation_size = 5;
Mat element = getStructuringElement(MORPH_CROSS,
                                Size(2 * dilation_size + 1, 2 * dilation_size + 1),
                                Point(dilation_size, dilation_size));

dilate(cannyEdges, cannyEdges, element);
input.copyTo(blurred);
blur(blurred, blurred, Size(3, 3));
blurred.copyTo(output, cannyEdges);

This is the image of my input, my output and desired result

i am using this image as input