Hello! I'm tryng to do the image processing inside of a determinate ROI, but I don't know f this its the right way to do it. I just draw a rectangle and crop the image. But I have a doubt about it, from CLAHE the image get noisy with some lines through it. I thought if I just select a ROI the image couldn't get that noisy if I select some specific area from it.
Hope you can help me
Greetings!
import cv2
import numpy as np
import math
kernel = np.ones((3,3),np.uint8)
kernel[0,0]=0
kernel[0,2]=0
kernel[2,0]=0
kernel[2,2]=0
print(kernel)
cap = cv2.VideoCapture(0)
while(cap.isOpened()):
# read image
ret, img = cap.read()
# get hand data from the rectangle sub window on the screen
cv2.rectangle(img, (200,200), (500,400), (0,255,0),0)
crop_img = img[200:400, 200:400]
# convert to grayscale
gray = cv2.cvtColor(crop_img, cv2.COLOR_BGR2GRAY)
##-----PROCESAMIENTO-----------------------------------
#Def. ROI
nf,nc=gray.shape
# nf3=round(nf/3)
# gray = gray[nf3:2*nf3,:]
## value = (5, 5)
## gray = cv2.GaussianBlur(gray, value, 0)
CAP1 = gray.copy()
#Ecualización
clahe = cv2.createCLAHE(clipLimit=20.0, tileGridSize=(4,4))
gray= clahe.apply(gray)
# gray = cv2.equalizeHist(gray)
CAP2 = gray.copy()
cv2.imshow('CLAHE',CAP2)
gray = cv2.medianBlur(gray,3) #Filtro Mediana
CAP3 = gray.copy()
#cv2.imshow('BLUR',CAP3)
retval,CAP4 = cv2.threshold(gray,0,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)
cv2.imshow('bin',CAP4)
mask1=(CAP4>0)*gray #pixeles grises
mask2=(CAP4==0)*int(CAP3.mean()) #Fondo Promedio
gray=np.uint8(mask1+mask2) #conviente a formato int
CAP5 = gray.copy()
cv2.imshow('PROMEDIO',CAP5)
retval,gray = cv2.threshold(gray,0,255,cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
gray = (CAP1>0)*gray
CAP6 = gray.copy()
gray = cv2.erode(gray,kernel,iterations = 2)
gray = cv2.morphologyEx(gray, cv2.MORPH_OPEN, kernel)
CAP7 = gray.copy()
# show thresholded image
cv2.imshow('Thresholded', CAP7)
cv2.imshow('Gesture', img)
k = cv2.waitKey(10)
if k == 27:
break
cv2.destroyAllWindows()
cap.release()
