opencv 轮廓检测

#!  usr/bin/python
#   coding=utf-8

import numpy as np
import cv2

#   opencv 轮廓检测

image = cv2.imread('test.jpg', 0)
image_copy = image.copy()

ret, thresh = cv2.threshold(image_copy, 127, 255, 0)
img, contours, hierarchy = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
color = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)

for c in contours:
    x, y, w, h = cv2.boundingRect(c)
    cv2.rectangle(color, (x, y), (x + w, y + h), (0, 0, 255), 1)

    rect = cv2.minAreaRect(c)
    box = cv2.boxPoints(rect)
    box = np.int0(box)
    cv2.drawContours(color, [box], 0, (0, 0, 255), 1)

    (x, y), radius = cv2.minEnclosingCircle(c)
    center = (int(x), int(y))
    radius = int(radius)
    cv2.circle(color, center, radius, (0, 0 ,255), 1)

# cv2.drawContours(color, contours, -1, (255, 0, 0), 2)
cv2.imshow('contour_image', color)
cv2.waitKey()
cv2.destroyAllWindow()