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2017-07-25T20:27:27+00:00
fanfuhan OpenCV 教學118 ~ opencv-118-Grabcut圖像分割
資料來源: https://fanfuhan.github.io/
https://fanfuhan.github.io/2019/05/25/opencv-118/
GITHUB:https://github.com/jash-git/fanfuhan_ML_OpenCV
Grabcut是基於圖割(graph cut)實現的圖像分割算法，它需要用戶輸入一個bounding box作為分割目標位置，實現對目標與背景的分離/分割，這個跟KMeans與MeanShift等圖像分割方法有很大的不同，但是Grabcut分割速度快，效果好，支持交互操作，因此在很多APP圖像分割/背景虛化的軟件中可以看到其身影。
C++
#include
#include
using namespace cv;
using namespace std;
int main(int argc, char** argv) {
Mat src = imread("D:/images/master.jpg");
if (src.empty()) {
printf("could not load image...\n");
return 0;
}
namedWindow("input", WINDOW_AUTOSIZE);
imshow("input", src);
Mat mask = Mat::zeros(src.size(), CV_8UC1);
Rect rect(180, 20, 180, 220);
Mat bgdmodel = Mat::zeros(1, 65, CV_64FC1);
Mat fgdmodel = Mat::zeros(1, 65, CV_64FC1);
grabCut(src, mask, rect, bgdmodel, fgdmodel, 5, GC_INIT_WITH_RECT);
Mat result;
for (int row = 0; row < mask.rows; row++) {
for (int col = 0; col < mask.cols; col++) {
int pv = mask.at(row, col);
if (pv == 1 || pv == 3) {
mask.at(row, col) = 255;
}
else {
mask.at(row, col) = 0;
}
}
}
bitwise_and(src, src, result, mask);
imshow("grabcut result", result);
waitKey(0);
return 0;
}
Python
"""
Grabcut图像分割
"""
import cv2 as cv
import numpy as np
src = cv.imread("images/master.jpg")
cv.imshow("input", src)
mask = np.zeros(src.shape[:2], dtype=np.uint8)
rect = (53, 12, 356, 622)
iterCount = 5
bgdmodel = np.zeros((1, 13 * iterCount), np.float64)
fgdmodel = np.zeros((1, 13 * iterCount), np.float64)
cv.grabCut(src, mask, rect, bgdmodel, fgdmodel, iterCount, mode=cv.GC_INIT_WITH_RECT)
mask2 = np.where((mask == 1) + (mask == 3), 255, 0).astype('uint8')
print(mask2.shape)
result = cv.bitwise_and(src, src, mask=mask2)
cv.imshow("result", result)
cv.waitKey(0)
cv.destroyAllWindows()
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