python图像处理：边缘模糊

效果

流程如下:先选择canny的两个阈值，确定好需要进行模糊的边缘，再选择模糊程度

原理

canny边缘检测

参考链接

Canny边缘检测算法可以分为以下5个步骤：

1. 使用高斯滤波器，以平滑图像，滤除噪声。

2. 计算图像中每个像素点的梯度强度和方向。

3. 应用非极大值（Non-Maximum Suppression）抑制，以消除边缘检测带来的杂散响应。

4. 应用双阈值（Double-Threshold）检测来确定真实的和潜在的边缘。

5. 通过抑制孤立的弱边缘最终完成边缘检测。

代码

import cv2
t1 = 0
t2 = 0
def Preview(img_path,ts1,ts2):
    img = cv2.imread(img_path)
    img_copy = img.copy()

    imgCanny = cv2.Canny(img,ts1,ts2)

    g = cv2.getStructuringElement(cv2.MORPH_RECT, (5, 5))
    g2 = cv2.getStructuringElement(cv2.MORPH_RECT, (7, 7))
    
    img_dilate = cv2.dilate(imgCanny, g)
    img_dilate2 = cv2.dilate(imgCanny, g2)

    shape = img_dilate.shape
    for i in range(shape[0]):
        for j in range(shape[1]):
            if img_dilate2[i,j] == 0:
                img[i,j] = [0,0,0]
    
    cv2.namedWindow("Preview",cv2.WINDOW_NORMAL)
    cv2.createTrackbar("kerner_size","Preview",0,7,nothing)
    while(1):
        size = cv2.getTrackbarPos("kerner_size","Preview")
        dst = cv2.GaussianBlur(img,(2*size+1,2*size+1),0,0,cv2.BORDER_DEFAULT)
        
        for i in range(shape[0]):
            for j in range(shape[1]):
                if img_dilate[i,j] != 0:
                    img_copy[i,j] =dst[i,j]

        cv2.imshow("Result",img_copy)
        k = cv2.waitKey(1) & 0xff
        if k == 27:
            break
    cv2.destroyAllWindows()

def Choose_Thre(img_path):  
    global t1,t2
    img = cv2.imread(img_path)
    gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

    cv2.namedWindow("Preview",cv2.WINDOW_NORMAL)
    
    def nothing(WEV):
        pass
    
    cv2.createTrackbar("Threshold1","Preview",0,255,nothing)
    cv2.createTrackbar("Threshold2","Preview",0,255,nothing)
    while(1):
        t1 = cv2.getTrackbarPos("Threshold1","Preview")
        t2 = cv2.getTrackbarPos("Threshold2","Preview")
        detected_edges = cv2.GaussianBlur(gray,(3,3),0)
        detected_edges = cv2.Canny(detected_edges,t1,t2,apertureSize = 3)
        dst = cv2.bitwise_and(img,img,mask = detected_edges) 
        cv2.imshow('Edge',dst)
        k = cv2.waitKey(1)&0xFF
        if k==27:
            break
    cv2.destroyAllWindows()

def nothing(wte):
    pass

#按esc退出 直接关闭无效
img_path = '1.jpg'
Choose_Thre(img_path)
print(t1,t2)
Preview(img_path,t1,t2)