如何解决openCV 的 Houghline 方法只给出 1 行作为输出
我使用 houghLine 方法进行线检测。但它只给出 1 行作为输出,我认为这是投票最多的那一行。我尝试了来自 In opencv using houghlines prints only one line 的解决方案,但这需要很多时间并且不起作用。
我的代码是:
folderInPath = "DevanagariHandwrittenCharacterDataset/Test"
folderOutPath = "DevanagariHandwrittenCharacterDataset/Test_Lines"
for folderPath in os.listdir(folderInPath):
inPath = "DevanagariHandwrittenCharacterDataset/Test/" + folderPath
#os.mkdir(os.path.join(folderOutPath,folderPath+'_lines'))
outPath = os.path.join(folderOutPath,folderPath+'_lines')
dirs = "DevanagariHandwrittenCharacterDataset/Test/" + folderPath
for imagePath in os.listdir(dirs):
# imagePath contains name of the image for eg. 46214.png
inputPath = os.path.join(inPath,imagePath)
# inputPath contains the full directory name for eg. character_1_ka/46214.png|
# Reading the required image in which operations are to be done.
# Make sure that the image is in the same directory in which this python program is
img = cv2.imread(inputPath)
# Convert the img to grayscale
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
# Apply edge detection method on the image
edges = cv2.Canny(gray,50,150,apertureSize = 3)
# This returns an array of r and theta values
lines = cv2.houghlines(edges,1,np.pi/180,5)
for line in lines:
# The below for loop runs till r and theta values are in the range of the 2d array
for r,theta in line:
# Stores the value of cos(theta) in a
a = np.cos(theta)
# Stores the value of sin(theta) in b
b = np.sin(theta)
# x0 stores the value rcos(theta)
x0 = a*r
# y0 stores the value rsin(theta)
y0 = b*r
# x1 stores the rounded off value of (rcos(theta)-1000sin(theta))
x1 = int(x0 + 1000*(-b))
# y1 stores the rounded off value of (rsin(theta)+1000cos(theta))
y1 = int(y0 + 1000*(a))
# x2 stores the rounded off value of (rcos(theta)+1000sin(theta))
x2 = int(x0 - 1000*(-b))
# y2 stores the rounded off value of (rsin(theta)-1000cos(theta))
y2 = int(y0 - 1000*(a))
# cv2.line draws a line in img from the point(x1,y1) to (x2,y2). (0,255) denotes the colour of the line to be
#drawn. In this case,it is red.
cv2.line(img,(x1,y1),(x2,y2),(0,255),2)
# fullOutPath contains the path of the output
fullOutPath = os.path.join(outPath,'lines_'+imagePath)
# All the changes made in the input image are finally written on a new image houghlines.jpg
cv2.imwrite(fullOutPath,img)
print("Done " + folderPath)
有关信息,我的图像输入是 32 x 32 像素的印地语字符。有人对此有任何建议或解决方案。
我在我的数据集中附加一张图像。有好几张这样的图片。Image
解决方法
您的代码通常是正确的,只是您没有为线检测 lines = cv2.HoughLines(edges,1,np.pi/180,5)
选择正确的参数。
将此指令替换为:lines = cv2.HoughLines(edges,np.pi/90,18)
会给你这个结果:
注意:如果你想检测更多或更少的行,你必须相应地改变参数。
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