我必须找到暂停图像的角点。我在Python 2.7中使用OpenCV 3.1.0
我使用了Houghline检测。但是,它找到了论文的外线。
cap = cv2.VideoCapture(1)
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
frame=cv2.GaussianBlur(frame,(3,3),0);
cv2.adaptiveThreshold(frame,255,CV_ADAPTIVE_THRESH_MEAN_C,
CV_THRESH_BINARY,75,10);
gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
edges = cv2.Canny(gray,50,150,apertureSize = 3)
cv2.imshow('canny',edges)
lines = cv2.HoughLines(edges,r,t,th)
for rho,theta in lines[0]:
a = np.cos(theta)
b = np.sin(theta)
x0 = a*rho
y0 = b*rho
x1 = int(x0 + 1000*(-b))
y1 = int(y0 + 1000*(a))
x2 = int(x0 - 1000*(-b))
y2 = int(y0 - 1000*(a))
cv2.line(frame,(x1,y1),(x2,y2),(0,0,255),2)
#Display the resulting frame
cv2.imshow('frame',frame)
if cv2.waitKey(40) & 0xFF == ord('q'):
break
建议一种获得交叉点坐标的合适方法。如果你能提供一些示例代码。