I'm trying to count the number of a group of crickets(insect). I will use the image processing method, by openCV library. This will provide more accuracy practice, when the farmers sell their crickets. The photo was taken from a smartphone. Unfortunately, the results were not as expected. Since, most crickets overlap on each other, my code couldn't separate them into individual, resulting in an incorrect count.
what method that I should apply to this issue? Is there something wrong with my code?
Crickets image
And here is my code.
import cv2
import numpy as np
img = cv2.imread("c1.jpg",1)
roi=img[0:1500,0:1100]
gray = cv2.cvtColor(roi,cv2.COLOR_BGR2GRAY)
gray_blur=cv2.GaussianBlur(gray,(15,15),0)
thresh = cv2.adaptiveThreshold(gray_blur,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,cv2.THRESH_BINARY_INV,11,1)
kernel=np.ones((1,1),np.uint8)
closing=cv2.morphologyEx(thresh,cv2.MORPH_CLOSE,kernel,iterations=10)
result_img=closing.copy()
contours,hierachy=cv2.findContours(result_img,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
counter=0
for cnt in contours:
area = cv2.contourArea(cnt)
if area < 150 :
#if area< 300 :
continue
counter+=1
ellipse = cv2.fitEllipse(cnt)
cv2.ellipse(roi,ellipse,(0,255,0),1)
cv2.putText(roi,"Crickets="+str(counter),(100,70),cv2.FONT_HERSHEY_SIMPLEX,1,(255,0,0),1,cv2.LINE_AA)
cv2.imshow('ImageOfCrickets',roi)
#cv2.imshow('ImageOfGray',gray)
#cv2.imshow('ImageOfGray_blur',gray_blur)
#cv2.imshow('ImageOfThreshold',thresh)
#cv2.imshow('ImageOfMorphology',closing)
print('Crickets = '+ str(counter))
cv2.waitKey(0)
cv2.destroyAllWindows()
Now, I'm using closing morphology and Contours Hierarchy for ellipse shape method.
from Overlapping Objects issue in Counting Insects with OpenCV
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