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| 1 | +#include <iostream> |
| 2 | +#include <opencv2/opencv.hpp> |
| 3 | + |
| 4 | +using namespace cv; |
| 5 | +using namespace std; |
| 6 | + |
| 7 | +#define THINNING_ZHANGSUEN 1 |
| 8 | +#define THINNING_GUOHALL 2 |
| 9 | + |
| 10 | +// Applies a thinning iteration to a binary image |
| 11 | +static void thinningIteration(Mat img, int iter, int thinningType) { |
| 12 | + Mat marker = Mat::zeros(img.size(), CV_8UC1); |
| 13 | + |
| 14 | + if (thinningType == THINNING_ZHANGSUEN) { |
| 15 | + for (int i = 1; i < img.rows - 1; i++) |
| 16 | + { |
| 17 | + for (int j = 1; j < img.cols - 1; j++) |
| 18 | + { |
| 19 | + uchar p2 = img.at<uchar>(i - 1, j); |
| 20 | + uchar p3 = img.at<uchar>(i - 1, j + 1); |
| 21 | + uchar p4 = img.at<uchar>(i, j + 1); |
| 22 | + uchar p5 = img.at<uchar>(i + 1, j + 1); |
| 23 | + uchar p6 = img.at<uchar>(i + 1, j); |
| 24 | + uchar p7 = img.at<uchar>(i + 1, j - 1); |
| 25 | + uchar p8 = img.at<uchar>(i, j - 1); |
| 26 | + uchar p9 = img.at<uchar>(i - 1, j - 1); |
| 27 | + |
| 28 | + int A = (p2 == 0 && p3 == 1) + (p3 == 0 && p4 == 1) + |
| 29 | + (p4 == 0 && p5 == 1) + (p5 == 0 && p6 == 1) + |
| 30 | + (p6 == 0 && p7 == 1) + (p7 == 0 && p8 == 1) + |
| 31 | + (p8 == 0 && p9 == 1) + (p9 == 0 && p2 == 1); |
| 32 | + int B = p2 + p3 + p4 + p5 + p6 + p7 + p8 + p9; |
| 33 | + int m1 = iter == 0 ? (p2 * p4 * p6) : (p2 * p4 * p8); |
| 34 | + int m2 = iter == 0 ? (p4 * p6 * p8) : (p2 * p6 * p8); |
| 35 | + |
| 36 | + if (A == 1 && (B >= 2 && B <= 6) && m1 == 0 && m2 == 0) |
| 37 | + marker.at<uchar>(i, j) = 1; |
| 38 | + } |
| 39 | + } |
| 40 | + } |
| 41 | + |
| 42 | + if (thinningType == THINNING_GUOHALL) { |
| 43 | + for (int i = 1; i < img.rows - 1; i++) |
| 44 | + { |
| 45 | + for (int j = 1; j < img.cols - 1; j++) |
| 46 | + { |
| 47 | + uchar p2 = img.at<uchar>(i - 1, j); |
| 48 | + uchar p3 = img.at<uchar>(i - 1, j + 1); |
| 49 | + uchar p4 = img.at<uchar>(i, j + 1); |
| 50 | + uchar p5 = img.at<uchar>(i + 1, j + 1); |
| 51 | + uchar p6 = img.at<uchar>(i + 1, j); |
| 52 | + uchar p7 = img.at<uchar>(i + 1, j - 1); |
| 53 | + uchar p8 = img.at<uchar>(i, j - 1); |
| 54 | + uchar p9 = img.at<uchar>(i - 1, j - 1); |
| 55 | + |
| 56 | + int C = ((!p2) & (p3 | p4)) + ((!p4) & (p5 | p6)) + ((!p6) & (p7 | p8)) + ((!p8) & (p9 | p2)); |
| 57 | + int N1 = (p9 | p2) + (p3 | p4) + (p5 | p6) + (p7 | p8); |
| 58 | + int N2 = (p2 | p3) + (p4 | p5) + (p6 | p7) + (p8 | p9); |
| 59 | + int N = N1 < N2 ? N1 : N2; |
| 60 | + int m = iter == 0 ? ((p6 | p7 | (!p9)) & p8) : ((p2 | p3 | (!p5)) & p4); |
| 61 | + |
| 62 | + if ((C == 1) && ((N >= 2) && ((N <= 3)) & (m == 0))) |
| 63 | + marker.at<uchar>(i, j) = 1; |
| 64 | + } |
| 65 | + } |
| 66 | + } |
| 67 | + |
| 68 | + img &= ~marker; |
| 69 | +} |
| 70 | + |
| 71 | +// Apply the thinning procedure to a given image |
| 72 | +void thinning(InputArray input, OutputArray output, int thinningType) { |
| 73 | + Mat processed = input.getMat().clone(); |
| 74 | + // Enforce the range of the input image to be in between 0 - 255 |
| 75 | + processed /= 255; |
| 76 | + |
| 77 | + Mat prev = Mat::zeros(processed.size(), CV_8UC1); |
| 78 | + Mat diff, temp; |
| 79 | + |
| 80 | + do { |
| 81 | + thinningIteration(processed, 0, thinningType); |
| 82 | + thinningIteration(processed, 1, thinningType); |
| 83 | + absdiff(processed, prev, diff); |
| 84 | + processed.copyTo(prev); |
| 85 | + |
| 86 | + //// muestra la animacion en cada iteracion del algoritmo |
| 87 | + //temp = processed * 255; |
| 88 | + //imshow("test", temp); |
| 89 | + //waitKey(10); |
| 90 | + //// end animacion |
| 91 | + |
| 92 | + } while (countNonZero(diff) > 0); |
| 93 | + |
| 94 | + processed *= 255; |
| 95 | + |
| 96 | + output.assign(processed); |
| 97 | +} |
| 98 | + |
| 99 | + |
| 100 | +int main(int argc, char** argv) |
| 101 | +{ |
| 102 | + Mat image = imread("data/star.jpg", CV_LOAD_IMAGE_GRAYSCALE); |
| 103 | + |
| 104 | + if (image.empty()) |
| 105 | + { |
| 106 | + printf("No image data \n"); |
| 107 | + return -1; |
| 108 | + } |
| 109 | + |
| 110 | + Mat src = image.clone(); |
| 111 | + thinning(src, src, 2); |
| 112 | + |
| 113 | + // 1. dibujar el esqueleto a color verde sobre la imagen original |
| 114 | + cvtColor(image, image, CV_GRAY2BGR); |
| 115 | + |
| 116 | + for (int i = 0; i < image.cols; i++) |
| 117 | + { |
| 118 | + for (int j = 0; j < image.rows; j++) |
| 119 | + { |
| 120 | + Scalar intensity = src.at<uchar>(j, i); |
| 121 | + if (intensity.val[0] == 255) { |
| 122 | + image.at<Vec3b>(j, i) = Vec3b(0, 255, 0); |
| 123 | + } |
| 124 | + } |
| 125 | + } |
| 126 | + // end 1 |
| 127 | + |
| 128 | + imshow("OpenCV Skeleton Final", src); |
| 129 | + imshow("Original Skeleton Final", image); |
| 130 | + waitKey(0); |
| 131 | + |
| 132 | + return 0; |
| 133 | +} |
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