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问题描述
我正在尝试查找图像中带有圆角的矩形对象的轮廓.我尝试了HoughLinesP
和findContours
,但是没有达到预期的效果.
I'm trying to find the contour of a rectangle object with round corner in a image. I tried HoughLinesP
and findContours
, but did not achieve the desired result.
我想找到这样的矩形:
I want to find the rectangle like this:
代码:
import cv2
import matplotlib.pyplot as plt
import util
image = cv2.imread("./img/findrect0.png", 1)
gray = util.grayImage(image)
edges = cv2.Canny(image, 50, 200)
lines = cv2.HoughLinesP(edges, 1, cv2.cv.CV_PI/180, 50, minLineLength=50, maxLineGap=10)[0]
linesImage = image.copy()
util.drawLines(linesImage, lines, thickness=10)
contoursImage = image.copy()
(contours, hierarchy) = cv2.findContours(gray.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
util.drawContours(contoursImage, contours, thickness=10)
util.showOpenCVImagesGrid([image, edges, linesImage, contoursImage], 2, 2, titles=["original image", "canny image", "lines image", "contours image"])
实用程序:
import cv2
import math
import matplotlib.pyplot as plt
def showOpenCVImagesGrid(images, x, y, titles=None, axis="on"):
fig = plt.figure()
i = 1
for image in images:
copy = image.copy()
channel = len(copy.shape)
cmap = None
if channel == 2:
cmap = "gray"
elif channel == 3:
copy = cv2.cvtColor(copy, cv2.COLOR_BGR2RGB)
elif channel == 4:
copy = cv2.cvtColor(copy, cv2.COLOR_BGRA2RGBA)
fig.add_subplot(x, y, i)
if titles is not None:
plt.title(titles[i-1])
plt.axis(axis)
plt.imshow(copy, cmap=cmap)
i += 1
plt.show()
def grayImage(image):
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
return gray
def drawLines(image, lines, thickness=1):
for line in lines:
# print("line="+str(line))
cv2.line(image, (line[0], line[1]), (line[2], line[3]),
(0, 0, 255), thickness)
def drawContours(image, contours, thickness=1):
i = 0
for contour in contours:
cv2.drawContours(image, [contours[i]], i, (0, 255, 0), thickness)
area = cv2.contourArea(contour)
i += 1
我正在使用Python 2.7.13
和OpenCV 2.4.13.3
.
我一直在考虑延伸这些线并获得线的交点.最后,我将获得四个矩形坐标.但是,如果图像更复杂,我不知道该如何处理.
I've been thinking to extend these lines and get intersection points of lines. Finally, I will get four coordinates of rectangle.But if the image is more complex, I don't know how to deal with.
推荐答案
您需要找到找到的轮廓的边界矩形.
You need to find the bounding rectangle of the found contours.
img = cv2.imread("image.png", -1)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
binary = cv2.bitwise_not(gray)
(_,contours,_) = cv2.findContours(binary, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
for contour in contours:
(x,y,w,h) = cv2.boundingRect(contour)
cv2.rectangle(img, (x,y), (x+w,y+h), (0,255,0), 2)
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