霍夫线检测到太多线

Question

我正在尝试使用 opencv 中的霍夫线从织物图像中提取垂直线。我应用对比度增强来增强线条和双边过滤以尝试去除其他织物纹理。但是，在应用轮廓线时，代码会检测整个图像中的线条。我尝试使用 hough 的参数，但结果是一样的。

应用直方图均衡和双边滤波器后的输入图像：

这是应用霍夫线后的图像，红色代表检测到的线。 输出显示霍夫检测：

我可以尝试另一种方法，以使 hough 不会开始将微小的织物图案也检测为线条？

这是我的代码：

`

    img1= cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
    img2 = cv2.equalizeHist(img1)
    img3 = cv2.equalizeHist(img2)
    img4 = cv2.equalizeHist(img3)
    img5 = cv2.bilateralFilter(img4, 9, 75,75)
    cv2.imshow("threshold",img5)
    edges = cv2.Canny(img4,50,127,apertureSize = 3)
    lines= cv2.HoughLines(edges, 1, math.pi/180.0, 200, np.array([]), 0, 0)
    a,b,c = lines.shape
    for i in range(a):
        rho = lines[i][0][0]
        theta = lines[i][0][1]
        a = math.cos(theta)
        b = math.sin(theta)
        x0, y0 = a*rho, b*rho
        pt1 = ( int(x0+1000*(-b)), int(y0+1000*(a)) )
        pt2 = ( int(x0-1000*(-b)), int(y0-1000*(a)) )
        cv2.line(img, pt1, pt2, (0, 0, 255), 2, cv2.LINE_AA)

cv2.imshow('image1',img)
cv2.waitKey(0)
cv2.destroyAllWindows()`

Answer 1

在进行精明边缘检测和霍夫线提取之前，您需要对均衡图像进行阈值化，应用形态学对其进行清理。使用Python/OpenCV进行如下处理。

输入：

import cv2
import numpy as np
import math

# read image
img = cv2.imread('fabric_equalized.png')

# convert to grayscale
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

# threshold
thresh = cv2.threshold(gray,165,255,cv2.THRESH_BINARY)[1]

# apply close to connect the white areas
kernel = np.ones((15,1), np.uint8)
morph = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, kernel)
kernel = np.ones((17,3), np.uint8)
morph = cv2.morphologyEx(morph, cv2.MORPH_CLOSE, kernel)

# apply canny edge detection
edges = cv2.Canny(img, 175, 200)

# get hough lines
result = img.copy()
lines= cv2.HoughLines(edges, 1, math.pi/180.0, 165, np.array([]), 0, 0)
a,b,c = lines.shape
for i in range(a):
    rho = lines[i][0][0]
    theta = lines[i][0][1]
    a = math.cos(theta)
    b = math.sin(theta)
    x0, y0 = a*rho, b*rho
    pt1 = ( int(x0+1000*(-b)), int(y0+1000*(a)) )
    pt2 = ( int(x0-1000*(-b)), int(y0-1000*(a)) )
    cv2.line(result, pt1, pt2, (0, 0, 255), 2, cv2.LINE_AA)


# save resulting images
cv2.imwrite('fabric_equalized_thresh.jpg',thresh)
cv2.imwrite('fabric_equalized_morph.jpg',morph)
cv2.imwrite('fabric_equalized_edges.jpg',edges)
cv2.imwrite('fabric_equalized_lines.jpg',result)

# show thresh and result    
cv2.imshow("thresh", thresh)
cv2.imshow("morph", morph)
cv2.imshow("edges", edges)
cv2.imshow("result", result)
cv2.waitKey(0)
cv2.destroyAllWindows()

阈值图像：

形态清洁图像：

边缘图像：

产生的霍夫线：