opencv打卡65: Zhang-Suen细化算法

1、介绍

2、代码

import cv2
import numpy as np
import matplotlib.pyplot as plt# Zhang Suen thining algorythm
def Zhang_Suen_thining(img):# get shapeH, W, C = img.shape# prepare out imageout = np.zeros((H, W), dtype=np.int)out[img[..., 0] > 0] = 1# inverseout = 1 - outwhile True:s1 = []s2 = []# step 1 ( rasta scan )for y in range(1, H-1):for x in range(1, W-1):# condition 1if out[y, x] > 0:continue# condition 2f1 = 0if (out[y-1, x+1] - out[y-1, x]) == 1:f1 += 1if (out[y, x+1] - out[y-1, x+1]) == 1:f1 += 1if (out[y+1, x+1] - out[y, x+1]) == 1:f1 += 1if (out[y+1, x] - out[y+1,x+1]) == 1:f1 += 1if (out[y+1, x-1] - out[y+1, x]) == 1:f1 += 1if (out[y, x-1] - out[y+1, x-1]) == 1:f1 += 1if (out[y-1, x-1] - out[y, x-1]) == 1:f1 += 1if (out[y-1, x] - out[y-1, x-1]) == 1:f1 += 1if f1 != 1:continue# condition 3f2 = np.sum(out[y-1:y+2, x-1:x+2])if f2 < 2 or f2 > 6:continue# condition 4if out[y-1, x] + out[y, x+1] + out[y+1, x] < 1:continue# condition 5if out[y, x+1] + out[y+1, x] + out[y, x-1] < 1:continues1.append([y, x])for v in s1:out[v[0], v[1]] = 1# step 2 ( rasta scan )for y in range(1, H-1):for x in range(1, W-1):# condition 1if out[y, x] > 0:continue# condition 2f1 = 0if (out[y-1, x+1] - out[y-1, x]) == 1:f1 += 1if (out[y, x+1] - out[y-1, x+1]) == 1:f1 += 1if (out[y+1, x+1] - out[y, x+1]) == 1:f1 += 1if (out[y+1, x] - out[y+1,x+1]) == 1:f1 += 1if (out[y+1, x-1] - out[y+1, x]) == 1:f1 += 1if (out[y, x-1] - out[y+1, x-1]) == 1:f1 += 1if (out[y-1, x-1] - out[y, x-1]) == 1:f1 += 1if (out[y-1, x] - out[y-1, x-1]) == 1:f1 += 1if f1 != 1:continue# condition 3f2 = np.sum(out[y-1:y+2, x-1:x+2])if f2 < 2 or f2 > 6:continue# condition 4if out[y-1, x] + out[y, x+1] + out[y, x-1] < 1:continue# condition 5if out[y-1, x] + out[y+1, x] + out[y, x-1] < 1:continues2.append([y, x])for v in s2:out[v[0], v[1]] = 1# if not any pixel is changedif len(s1) < 1 and len(s2) < 1:breakout = 1 - outout = out.astype(np.uint8) * 255return out# Read image
img = cv2.imread("gazo.png").astype(np.float32)# Zhang Suen thining
out = Zhang_Suen_thining(img)# Save result
cv2.imwrite("out.png", out)
cv2.imshow("result", out)
cv2.waitKey(0)
cv2.destroyAllWindows()

3、结果

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