我是新手,我想知道如何使用Python OpenCV(cv2库)找到如下图像的轮廓:
我打算在每个方格中填入一个数字,然后将其转换为numpy数组,所以我想我需要弄清楚如何首先得到矩阵中每个方块的轮廓(也许是图中方块的坐标)
我尝试使用一些代码片段:
img = cv2.imread(img_path, 1)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
binary = cv2.bitwise_not(gray)
contours, hierarchy = cv2.findContours(binary, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
for contour in contours:
(x, y, w, h) = cv2.boundingRect(contour)
cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 2)
但它不起作用
试试这个:
img = cv2.imread(img_path, 1)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
gauss = cv2.adaptiveThreshold(gray,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 3, 0)
ret,thresh = cv2.threshold(gauss,0,255,cv2.THRESH_BINARY|cv2.THRESH_OTSU)
rev=255-thresh
_ ,contours, hierarchy = cv2.findContours(thresh, cv2.RETR_LIST ,cv2.CHAIN_APPROX_SIMPLE)
print(contours)
min_rect_len = 15
max_rect_len = 20
for contour in contours:
(x, y, w, h) = cv2.boundingRect(contour)
if h>min_rect_len and w>min_rect_len:
cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 1)
cv2.imwrite(img_path[:-4] + "_with_contours.jpg", img)
也许使用霍夫线可以完成这项工作: - >检查here
问候