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Hello, I need to normalize an image using zero center normalization. How to do it in OpenCV?

zero center normalization image Hello, I need to normalize an image using zero center normalization. How to do it in Ope

Is there a way I can remove these unwanted parts in a grayscale image? Hello, I am a beginner in OpenCV and I am trying

thank you! it works great. i thought i needed grouprectangles() for it, i overlooked the problem a bit much but i learne

oh ok, here are some images

oh ok, here are some images. images

oh ok, here are some images. images

with the same problems such as the one on the post?

Hello, I am new to OpenCV and I have been trying to detect WBCs. So far, so good but I encountered a problem. There are cells where they are not detected as one and it causes to draw 2 rectangles instead of just one. How can I merge the overlapping rectangles? I found out that OpenCV have a groupRectangles function, can this solve my problem and how do I use it (I can't find an example)? I am using Python 3.7.

Here is the output image of my code:

Here is my code:

import cv2
import numpy as np

limit_area = 1000   
x = 0   
y = 0   
w = 0   
h = 0   
nuclei = []   
count = 0   
number_name = 1   

img = cv2.imread('7.bmp')
img = cv2.add(img, 0.70)
img_hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)   
mask1 = cv2.inRange(img_hsv, (90,90,0), (255,255,255))  
mask2 = cv2.inRange(img_hsv, (70,100,0), (255,255,255)) 
mask = mask1 + mask2  
kernel = np.ones((1,3),np.uint8)  
mask = cv2.dilate(mask,kernel,iterations = 2)   
mask = cv2.morphologyEx(mask, cv2.MORPH_OPEN, kernel)  
mask_blur = cv2.medianBlur(mask,5)  
canny = cv2.Canny(mask_blur, 100,300,3) 
im2, contours, hierarchy = cv2.findContours(canny,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)  

for cnt in contours:   
    if cv2.contourArea(cnt) >= limit_area:   
        nuclei.append(cnt)
        print(cv2.contourArea(cnt))
        x, y, w, h = cv2.boundingRect(cnt)
        cv2.rectangle(img, (x, y), (x+w, y+h), (0,255,0), 7)

cv2.imshow('img', img)
cv2.waitKey(0)
cv2.destroyAllWindows()

is there a way i can determine the value of epsilon to use on an image? and can i also make the rectangle larger? i need

i got the points now, what could i do with the points?

merge overlapping rectangles Hello, I am new to OpenCV and I have been trying to detect WBCs. So far, so good but I enco