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2020/08/09 05:15

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daiki__1019
daiki__1019

スコア17

test CHANGED
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test CHANGED
@@ -4,4 +4,278 @@
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  ご教授いただきたいです。
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+
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+ 追記、細線化はできるのですが、端点の求め方がいまいち理解できません。。。
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+ コード等で教えていただけると幸いです。
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+ ```
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+ C++
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+
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+ #include <stdio.h>
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+
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+ #include <iostream>
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+
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+ #include <opencv2/opencv.hpp>
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+
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+
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+
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+ using namespace std;
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+
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+ using namespace cv;
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+
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+ void thinning(const Mat& src, Mat& dst);
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+
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+
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+
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+ #define INPUT_FILE_NAME "map.jpg"
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+
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+
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+
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+ int main()
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+
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+ {
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+
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+ cv::Mat input;
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+
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+ input = cv::imread(INPUT_FILE_NAME);
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+
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+ if (input.empty()) {
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+
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+ fprintf(stderr, "File is not opened.\n");
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+
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+ return (-1);
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+
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+ }
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+
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+
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+
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+
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+
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+ Scalar s_min = Scalar(0, 0, 150); //BGR
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+ Scalar s_max = Scalar(100, 100, 220);
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+ cv::Mat mask_image;
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+
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+
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+
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+ inRange(input, s_min, s_max, mask_image);
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+ //imshow("mask", mask_image);
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+
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+
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+
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+ Mat masked_image;
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+ input.copyTo(masked_image, mask_image);
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+
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+ //cv::imshow("masked", masked_image);
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+
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+
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+
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+
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+ Mat grays;
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+ cv::cvtColor(masked_image, grays, cv::COLOR_BGR2GRAY);
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+
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+
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+ Mat binarized;
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+ cv::threshold(grays, binarized, 50, 255, cv::THRESH_BINARY);
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+
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+
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+ Mat antiNoize;
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+ cv::medianBlur(binarized, antiNoize, 3);
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+ cv::medianBlur(antiNoize, antiNoize, 3);
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+
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+
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+ Mat contour = antiNoize.clone();
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+ Mat addLine = antiNoize.clone();
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+ cv::Point a, b;
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+
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+ double min = -1;
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+ std::vector< std::vector< cv::Point > > contours;
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+ cv::findContours(contour, contours, cv::RETR_EXTERNAL, cv::CHAIN_APPROX_SIMPLE);
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+ for (int i = 0; i < contours.size()-1; i++) {
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+
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+ for (int j = i+1; j < contours.size(); j++) {
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+
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+ for (int k = 0; k < contours[i].size(); k++) {
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+
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+ for (int l = 0; l < contours[j].size(); l++) {
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+
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+ double div = cv::norm(contours[i][k] - contours[j][l]);
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+
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+ if( (min == -1) || (min > div) ){
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+
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+ min = div;
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+ a = contours[i][k];
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+
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+ b = contours[j][l];
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+
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+ }
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+
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+ }
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+
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+ }
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+
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+ }
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+
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+ }
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+ cv::line(addLine, a, b, cv::Scalar(255, 0, 0), 2, LINE_8);
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+
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+
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+ Mat dilate;
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+ cv::dilate(addLine, dilate, noArray(), Point(-1, -1), 1);
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+ cv::imshow("input", input);
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+
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+
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+ Mat thinned = dilate.clone();
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+ thinning(dilate, thinned);
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+ cv::imshow("thinned", thinned);
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+
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+
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+
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+ cv::waitKey(0);
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+
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+ return 0;
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+
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+ }
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+
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+ void thinningIte(Mat& img, int pattern) {
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+
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+ Mat del_marker = Mat::ones(img.size(), CV_8UC1);
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+ int x, y;
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+
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+ for (y = 1; y < img.rows - 1; ++y) {
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+
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+
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+ for (x = 1; x < img.cols - 1; ++x) {
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+
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+
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+
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+ int v9, v2, v3;
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+
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+ int v8, v1, v4;
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+ int v7, v6, v5;
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+
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+ v1 = img.data[y * img.step + x * img.elemSize()];
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+
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+ v2 = img.data[(y - 1) * img.step + x * img.elemSize()];
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+ v3 = img.data[(y - 1) * img.step + (x + 1) * img.elemSize()];
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+ v4 = img.data[y * img.step + (x + 1) * img.elemSize()];
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+ v5 = img.data[(y + 1) * img.step + (x + 1) * img.elemSize()];
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+ v6 = img.data[(y + 1) * img.step + x * img.elemSize()];
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+ v7 = img.data[(y + 1) * img.step + (x - 1) * img.elemSize()];
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+ v8 = img.data[y * img.step + (x - 1) * img.elemSize()];
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+ v9 = img.data[(y - 1) * img.step + (x - 1) * img.elemSize()];
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+
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+
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+ int S = (v2 == 0 && v3 == 1) + (v3 == 0 && v4 == 1) +
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+
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+ (v4 == 0 && v5 == 1) + (v5 == 0 && v6 == 1) +
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+
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+ (v6 == 0 && v7 == 1) + (v7 == 0 && v8 == 1) +
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+
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+ (v8 == 0 && v9 == 1) + (v9 == 0 && v2 == 1);
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+
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+ int N = v2 + v3 + v4 + v5 + v6 + v7 + v8 + v9;
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+ int m1 = 0, m2 = 0;
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+
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+ if (pattern == 0) m1 = (v2 * v4 * v6);
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+
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+ if (pattern == 1) m1 = (v2 * v4 * v8);
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+
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+ if (pattern == 0) m2 = (v4 * v6 * v8);
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+
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+ if (pattern == 1) m2 = (v2 * v6 * v8);
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+
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+ if (S == 1 && (N >= 2 && N <= 6) && m1 == 0 && m2 == 0)
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+ del_marker.data[y * del_marker.step + x * del_marker.elemSize()] = 0;
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+
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+ }
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+
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+ }
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+
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+ img &= del_marker;
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+
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+ }
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+
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+ void thinning(const Mat& src, Mat& dst) {
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+ dst = src.clone();
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+ dst /= 255;// 0は0,1以上は1に変換される
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+
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+
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+ Mat prev = Mat::zeros(dst.size(), CV_8UC1);
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+ Mat diff;
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+ do {
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+ thinningIte(dst, 0);
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+ thinningIte(dst, 1);
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+ absdiff(dst, prev, diff);
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+ dst.copyTo(prev);
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+ }
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+ while (countNonZero(diff) > 0);
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+ dst *= 255;
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+ }
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+
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+ ```
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+
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  ![![イメージ説明](14da833173786ef72f5cc1b138d4d940.png)](3bbe64651ce40308dd363edf49552488.png)