指静脉代码学习---1:滤波与去噪

一、论文背景：

二、参考资料

①自己学的C++版本的OpenCV有关滤波（模糊）的操作讲解8--OpenCV:图像基本操作之 模糊 操作__Brooke_的博客-CSDN博客_模糊操作https://blog.csdn.net/zjjaibc/article/details/126554275

 ②python cv2有关滤波的详细解析(很全，包含导向滤波等。。。)(三)OpenCV-Python学习—图像平滑 - silence_cho - 博客园 (cnblogs.com)https://www.cnblogs.com/silence-cho/p/11027218.html

三、相关实现代码:

        1.代码一

def first_filter(img):
    #均值滤波
    img_Blur=cv2.blur(img,(5,5))
    '''
    #高斯滤波
    img_GaussianBlur=cv2.GaussianBlur(img,(7,7),0)
    #高斯双边滤波
    img_bilateralFilter=cv2.bilateralFilter(img,40,75,75)
    '''
    return img, img_Blur

        2.代码二---毛刺去除代码

#四周全黑
def black(img):
    rows,cols=img.shape
    for i in range(rows):
        img[i][0]=0
        img[i][cols-1]=0
    for j in range(cols):
        img[0][j]=0
        img[rows-1][j]=0
    return img
def neighbours(x, y, image):
    img = image
    x_1, y_1, x1, y1 = x - 1, y - 1, x + 1, y + 1
    return [img[x_1][y], img[x_1][y1], img[x][y1], img[x1][y1],  # P2,P3,P4,P5
            img[x1][y], img[x1][y_1], img[x][y_1], img[x_1][y_1]]  # P6,P7,P8,P9
 
def findBurr(img,i,j,q):
    if q.full():
        while(not q.empty()):
            index=q.get()
            img[index[0]][index[1]]=1
        # print(q.empty())
        return img
    else:
        n = neighbours(i, j, img)
        if sum(n) > 1:
            return img
        else:
            if sum(n) == 0:
                img[i][j] = 0
                return img
            else:
                q.put([i, j])
                img[i][j] = 0
                for x in range(i - 1, i + 2):
                    for y in range(j - 1, j + 2):
                        if img[x][y] == 1:
                            i = x
                            j = y
                            img=findBurr(img,i,j,q)
                            return img
#细化的毛刺去除
def removeBurr(img):
    rows,cols=img.shape
    # print(rows,cols)
    thresh=25
    q = Queue(thresh)
    for i in range(1,rows-1):
        for j in range(1,cols-1):
            # print(img[i][j])
            # print(i,j)
            if img[i][j]==1:
                img=findBurr(img,i,j,q)
                while (not (q.empty())):
                    q.get()
    img = black(img)
    return img

        3.代码三