我是一个新手,对于Python和图像处理不太熟悉。我正在做一个爱好项目,想要在图像中找到所有的圆,并找出其中有'X'标记的圆。我已经写了一些代码来找圆(如下所示)。它可以在一个图像上工作,但无法识别另一个图像中的所有圆。请指导我如何改进find_circles算法的性能。
测试图像:
结果图像:
import cv2
import cv
import numpy as np
import operator
from PIL import Image
def find_circles(img):
im_gray = cv2.imread(img, cv2.CV_LOAD_IMAGE_GRAYSCALE)
(thresh, im_bw) = cv2.threshold(im_gray, 128, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)
img_bw = cv2.threshold(im_gray, thresh, 255, cv2.THRESH_BINARY)[1]
cv2.imwrite('img_bw.png',img_bw)
rows, cols =img_bw.shape
circles = cv2.HoughCircles(img_bw,cv.CV_HOUGH_GRADIENT,1,rows/32, param1=100,param2=40,minRadius=0,maxRadius=100)
circles = np.uint16(np.around(circles))
return circles
def draw_circles(img, circles):
img = cv2.imread(img,0)
cimg = cv2.cvtColor(img,cv2.COLOR_GRAY2BGR)
for i in circles[0,:]:
# draw the outer circle
cv2.circle(cimg,(i[0],i[1]),i[2],(0,255,0),2)
# draw the center of the circle
cv2.circle(cimg,(i[0],i[1]),2,(0,0,255),3)
cv2.putText(cimg,str(i[0])+str(',')+str(i[1]), (i[0],i[1]), cv2.FONT_HERSHEY_SIMPLEX, 0.4, 255)
return cimg
def main():
img = "query_circle9.png"
circles = find_circles(img)
img_circle = draw_circles(img,circles)
cv2.imwrite('cricle.png',img_circle)
if __name__=='__main__':
main()