OpenCV__Python 轮廓检测_教程23-优快云博客

博客围绕OpenCV和Python的检测功能展开，虽未提供具体内容，但可推测是利用Python结合OpenCV库进行相关检测操作，在信息技术领域的图像处理等方面有应用价值。

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#引入opencv模块
import cv2 as cv
#引入numpy模块
import numpy as np
#引入sys模块
import sys


#countours
def countours_detection(img):
    #(1)加滤波，能消除噪声
    dst = cv.GaussianBlur(img,(3,3),0)
    gray = cv.cvtColor(dst,cv.COLOR_BGR2GRAY)
    ret,binary = cv.threshold(gray,0,255,cv.THRESH_BINARY|cv.THRESH_OTSU)
    cv.imshow("binary image",binary)
   
    #contours,heriachy = cv.findContours(binary,cv.RETR_TREE,cv.CHAIN_APPROX_SIMPLE)  #查找所有
    #只找最外面的，重要！！！
    contours,heriachy = cv.findContours(binary,cv.RETR_EXTERNAL,cv.CHAIN_APPROX_SIMPLE)
    #cv.drawContours(img,contours,-1,(0,0,255),2)  #画出所有
    for i,countour in enumerate(contours):
        cv.drawContours(img,contours,i,(0,0,255),2)
        #-1参数会填充掉轮廓，注意！
        #cv.drawContours(img,contours,i,(0,0,255),-1)
        print(i)
    return img
    

#edge_detection
def edge_detection(img):

    blurred = cv.GaussianBlur(img,(3,3),0)
    gray = cv.cvtColor(blurred,cv.COLOR_BGR2GRAY)
    edge_output = cv.Canny(gray,50,150)
    cv.namedWindow("canny_edge",cv.WINDOW_NORMAL)
    cv.imshow("canny_edge",edge_output)
    return edge_output


#countours2
def countours2_detection(img):  
    binary = edge_detection(img)
    #contours,heriachy = cv.findContours(binary,cv.RETR_TREE,cv.CHAIN_APPROX_SIMPLE)  #查找所有
    #只找最外面的，重要！！！
    contours,heriachy = cv.findContours(binary,cv.RETR_EXTERNAL,cv.CHAIN_APPROX_SIMPLE)
    #cv.drawContours(img,contours,-1,(0,0,255),2)  #画出所有
    for i,countour in enumerate(contours):
        cv.drawContours(img,contours,i,(0,0,255),2)
        #-1参数会填充掉轮廓，注意！
        #cv.drawContours(img,contours,i,(0,0,255),-1)
        print(i)
    return img


def img_test():
    #img = cv.imread('E:/chenopencvblogimg/lena.jpg')
    #img = cv.imread('E:/chenopencvblogimg/star.png')
    img = cv.imread('E:/chenopencvblogimg/circle.png')
    #判断是否读取成功
    if img is None:
        print("Could not read the image,may be path error")
        return
    cv.namedWindow("origin Pic",cv.WINDOW_NORMAL)
    cv.imshow("origin Pic",img)
    #countours_detection(img)
    
    img_show = countours_detection(img)
    cv.namedWindow("countours_detection",cv.WINDOW_NORMAL)
    cv.imshow("countours_detection",img_show)

    img_show = countours2_detection(img)
    cv.namedWindow("countours2_detection",cv.WINDOW_NORMAL)
    cv.imshow("countours2_detection",img_show)

    
    #让显示等待键盘输入维持在那里，否则程序跑完就闪退啦！
    cv.waitKey(0)
    #销毁窗口
    cv.destroyAllWindows()

if __name__ == '__main__':
    sys.exit(img_test() or 0)