python 2.7 opencv matchtemplate,只获取最佳匹配

你应该用 cv2.minMaxLoc() . 这将只返回一个最佳匹配。

min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(results)

top_left = max_loc
bottom_right = (top_left[0] + w, top_left[1] + h)

cv2.rectangle(image.copy(), top_left, bottom_right, 255, 2)

**图示:**

我把梅西放在足球场上作为图像,他的脸作为模板。

img = cv2.imread('C:/Users/selwyn77/Desktop/messi.jpg', 0)
img2 = cv2.imread('C:/Users/selwyn77/Desktop/messi.jpg', 1)
template = cv2.imread('C:/Users/selwyn77/Desktop/messi_face.jpg', 0)
w, h = template.shape[::-1]

#img3 = img2.copy()

res = cv2.matchTemplate(img,template,cv2.TM_CCOEFF_NORMED)
min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)

top_left = max_loc
bottom_right = (top_left[0] + w, top_left[1] + h)

cv2.rectangle(img2, top_left, bottom_right, (0, 255, 0), 2)

cv2.imshow('img', img2)    

编辑:

您可以设置阈值并检查 max_val 大于此阈值。如果大于,则继续绘制匹配区域。

threshold = 0.85
min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(results)
if max_val > threshold:

    top_left = max_loc
    bottom_right = (top_left[0] + w, top_left[1] + h)
    cv2.rectangle(image.copy(), top_left, bottom_right, 255, 2)