实现效果
第一张图为原图,其余的图为分割后的图形
代码实现:
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# -*-coding:utf-8-*- import numpy as np import cv2 #---------------------------------------------------------------------- def obj_clip(img, foreground, border): result = [] height ,width = np.shape(img) visited = set () for h in range (height): for w in range (width): if img[h,w] = = foreground and not (h,w) in visited: obj = visit(img, height, width, h, w, visited, foreground, border) result.append(obj) return result #---------------------------------------------------------------------- def visit(img, height, width, h, w, visited, foreground, border): visited.add((h,w)) result = [(h,w)] if w > 0 and not (h, w - 1 ) in visited: if img[h, w - 1 ] = = foreground: result + = visit(img, height, width, h, w - 1 , visited , foreground, border) elif border is not None and img[h, w - 1 ] = = border: result.append((h, w - 1 )) if w < width - 1 and not (h, w + 1 ) in visited: if img[h, w + 1 ] = = foreground: result + = visit(img, height, width, h, w + 1 , visited, foreground, border) elif border is not None and img[h, w + 1 ] = = border: result.append((h, w + 1 )) if h > 0 and not (h - 1 , w) in visited: if img[h - 1 , w] = = foreground: result + = visit(img, height, width, h - 1 , w, visited, foreground, border) elif border is not None and img[h - 1 , w] = = border: result.append((h - 1 , w)) if h < height - 1 and not (h + 1 , w) in visited: if img[h + 1 , w] = = foreground : result + = visit(img, height, width, h + 1 , w, visited, foreground, border) elif border is not None and img[h + 1 , w] = = border: result.append((h + 1 , w)) return result #---------------------------------------------------------------------- if __name__ = = "__main__" : import cv2 import sys sys.setrecursionlimit( 100000 ) img = np.zeros([ 400 , 400 ]) cv2.rectangle(img, ( 10 , 10 ), ( 150 , 150 ), 1.0 , 5 ) cv2.circle(img, ( 270 , 270 ), 70 , 1.0 , 5 ) cv2.line(img, ( 100 , 10 ), ( 100 , 150 ), 0.5 , 5 ) #cv2.putText(img, "Martin",(200,200), 1.0, 5) cv2.imshow( "img" , img * 255 ) cv2.waitKey( 0 ) for obj in obj_clip(img, 1.0 , 0.5 ): clip = np.zeros([ 400 , 400 ]) for h, w in obj: clip[h, w] = 0.2 cv2.imshow( "aa" , clip * 255 ) cv2.waitKey( 0 ) |
总结
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原文链接:https://blog.csdn.net/qq_38973721/article/details/107352151