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2017-07-25T20:27:27+00:00
fanfuhan OpenCV 教學046 ~ opencv-046-二值化圖像&聯通元件標記/尋找/計算(計數)[八方鍊碼]
資料來源: https://fanfuhan.github.io/
https://fanfuhan.github.io/2019/04/14/opencv-046/
GITHUB:https://github.com/jash-git/fanfuhan_ML_OpenCV
C++
#include
#include
using namespace std;
using namespace cv;
RNG rng(12345);
void connected_component_demo(Mat &image);
/*
* 二值图像的连通组件标记
*/
int main() {
Mat src = imread("../images/rice.png");
if (src.empty()) {
cout << "could not load image.." << endl;
}
imshow("input", src);
connected_component_demo(src);
waitKey(0);
return 0;
}
void connected_component_demo(Mat &image) {
// extract labels
Mat gray, binary;
GaussianBlur(image, image, Size(3, 3), 0);
cvtColor(image, gray, COLOR_BGR2GRAY);
threshold(gray, binary, 0, 255, THRESH_BINARY | THRESH_OTSU);
Mat labels = Mat::zeros(image.size(), CV_32S);
int num_labels = connectedComponents(binary, labels, 8, CV_32S);
cout << "total labels : " << num_labels - 1 << endl;
vector colors(num_labels);
// 背景颜色
colors[0] = Vec3b(0, 0, 0);
// 目标颜色
for (int i = 1; i < num_labels; ++i) {
colors[i] = Vec3b(rng.uniform(0, 256), rng.uniform(0, 256), rng.uniform(0, 256));
}
// 给结果着色
Mat dst = Mat::zeros(image.size(), image.type());
for (int row = 0; row < image.rows; ++row) {
for (int col = 0; col < image.cols; ++col) {
int label = labels.at(row, col);
if (label == 0) continue;
dst.at(row, col) = colors[label];
}
}
imshow("result", dst);
}
Python
import cv2 as cv
import numpy as np
def connected_components_demo(src):
src = cv.GaussianBlur(src, (3, 3), 0)
gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
ret, binary = cv.threshold(gray, 0, 255, cv.THRESH_BINARY | cv.THRESH_OTSU)
cv.imshow("binary", binary)
output = cv.connectedComponents(binary, connectivity=8, ltype=cv.CV_32S)
num_labels = output[0]
labels = output[1]
colors = []
for i in range(num_labels):
b = np.random.randint(0, 256)
g = np.random.randint(0, 256)
r = np.random.randint(0, 256)
colors.append((b, g, r))
colors[0] = (0, 0, 0)
h, w = gray.shape
image = np.zeros((h, w, 3), dtype=np.uint8)
for row in range(h):
for col in range(w):
image[row, col] = colors[labels[row, col]]
cv.imshow("colored labels", image)
cv.imwrite("D:/labels.png", image)
print("total rice : ", num_labels - 1)
src = cv.imread("D:/images/rice.png")
h, w = src.shape[:2]
connected_components_demo(src)
cv.waitKey(0)
cv.destroyAllWindows()
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