Mohamed_Elsayed's profile - activity

now im working on object black detection project with opencv using python and the pixels of the black is very small

snd do noisy to detect and i had tried to Convert the black color to red but no results as what i want and in tried to

invert the black color to white cuz the white pixels is easy to detect but no results .

so eny idea or eny sugg of new soloution .

i faced a problem with this i want to write this line in python

img_rgb .setTo(cv::Scalar(0,0,255), mask);

this the input image : http://i.stack.imgur.com/FjEXu.jpg

this is the masking image : http://i.stack.imgur.com/wWIcR.png

this is the output desired image : http://i.stack.imgur.com/vhb67.png

and my Code this :

import numpy as np import imutils

import cv2

img_rgb = cv2.imread('figi.jpg')

Conv_hsv_Gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)

ret, mask = cv2.threshold(Conv_hsv_Gray, 0, 255,cv2.THRESH_BINARY_INV |cv2.THRESH_OTSU)

img_rgb.Set(mask,cv2.Scalar(0,0,255)) #the problem

cv2.imshow("imgOriginal", img_rgb)

cv2.imshow("output", res)

cv2.imshow("mask", mask)

cv2.waitKey(0)