我对图像处理很新 . 我正在使用opencv和python . 我熟悉寻找轮廓的常规方法，但在这种情况下，我想忽略每个方块作为轮廓，但想要在每个所述形状上进行轮廓，如图所示 .
在目前的阈值处理后，我得到每个方块的轮廓 . opencv库中是否有任何简单的功能来检测这些整个大型形状而不是小方块 .
由于您要提取黄色矩形区域，因此：
1. Read 2. Exrtact green channel 3. Do morph-close-op and threshold 4. Findcontours and filter by Area
#!/usr/bin/python3 # 2018.01.07 14:04:18 CST # 2018.01.07 14:20:15 CST import cv2 ## 1. Read img = cv2.imread("img01.png") ## 2. Exrtact green channel g = img[...,1] ## 3. Do morph-close-op and Threshold kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (5,5)) morphed = cv2.morphologyEx(g,cv2.MORPH_CLOSE, kernel) th, threshed = cv2.threshold(morphed, 100, 255, cv2.THRESH_OTSU) ## 4. Findcontours and filter by Area cnts = cv2.findContours(threshed, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)[-2] canvas = img.copy() AREA = img.shape[0]*img.shape[1]/20 for cnt in cnts: if cv2.contourArea(cnt) < AREA: cv2.drawContours(canvas, [cnt], -1, (0,255,0), 2, cv2.LINE_AA) ## cv2.imwrite("res.png", canvas)
1 回答
由于您要提取黄色矩形区域，因此：