Help For OpenCV Smoothing Contours
Hi, I need the code about detecting shapes and colours of the shapes in the photo and the colors of the shapes. Now I coded in the PyCharm, but I can't get correct result from the my program because image's contours are not flat completely. So it says "Ellipse" for about the some triangles. I tried Median Blur, bilateral blur image smoothing methods. And I can't get correct result. Anyone can help to me? Thanks..
import cv2
import numpy as np
font1= cv2.FONT_HERSHEY_PLAIN
img_filter = cv2.imread("C:\\Users\\yusuf\\PycharmProjects\\OpenCV\\venv\\soru1.jpg")
img=cv2.medianBlur(img_filter,1)
cv2.imshow("img_filter",img_filter)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
_,threshold = cv2.threshold(gray,240,255,cv2.THRESH_BINARY)
contours,_ = cv2.findContours(threshold,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
for cnt in contours:
epsilon = 0.001*cv2.arcLength(cnt,True)
approx = cv2.approxPolyDP(cnt,epsilon,True)
x = approx.ravel()[0]
y = approx.ravel()[1]
centres = []
for i in range(len(contours)):
moments = cv2.moments(contours[i])
centres.append((int(moments['m10']/moments['m00']), int(moments['m01']/moments['m00'])))
cv2.circle(img, centres[-1], 3, -1)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
_, threshold = cv2.threshold(gray, 240, 255, cv2.THRESH_BINARY)
contours, _ = cv2.findContours(threshold, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
ucgen_sayaci=0
dortgen_sayaci=0
daire_sayaci=0
for cnt in contours:
approx = cv2.approxPolyDP(cnt, 0.01*cv2.arcLength(cnt, True), True)
cv2.drawContours(img, [approx], 0, (0), 5)
x = approx.ravel()[0]
y = approx.ravel()[1]
if len(approx) == 3:
ucgen_sayaci = ucgen_sayaci + 1
cv2.putText(img, "Triangle", (x, y), font1, 1, (0))
elif len(approx) == 4:
dortgen_sayaci = dortgen_sayaci + 1
cv2.putText(img, "Rectangle", (x, y), font1, 1, (0))
else:
daire_sayaci = daire_sayaci + 1
cv2.putText(img, "Circle", (x, y), font1, 1, (0))
print("Ucgen Sayisi:",ucgen_sayaci)
print("Dortgen Sayisi:",dortgen_sayaci)
print("Daire Sayisi:",daire_sayaci)
cv2.imwrite('output.png',img)
cv2.imshow("IMG",img)
cv2.imshow("IMG1",img_filter)
cv2.waitKey(0)
cv2.destroyAllWindows()
As there are alternatives, a sample image would help understanding the challenge. But even blindly, your tresholding looks quite a lot highlight oriented if there are various colors in the contours.
You could always try Bezier curves?
you can try fourier descriptors