I will use sift in identifying a certain type of object what if that object change in color can it recognize it? i will use opencv library for sift
What have you tried so far? You could verify this with an experiment such as..
import cv2 img = cv2.imread('0.jpg',1) # 1 = read image as color sift = cv2.xfeatures2d.SIFT_create() kp = sift.detect(img,None) img2 = cv2.drawKeypoints(img,kp,None) cv2.imwrite('siftkpcolor.jpg',img2)
Then you can run the code again with the same image and do
import cv2 img = cv2.imread('0.jpg',0) # 0 = read image as gray sift= cv2.xfeatures2d.SIFT_create() kp = sift.detect(img,None) img2 = cv2.drawKeypoints(img,kp,None) cv2.imwrite("siftkpgray.jpg",img2)
Now you will have two images saved, one in color with keypoints drawn and another in gray with keypoints drawn. What do you see? I tried the above code with
Check my images below. This may not be as fined-grained as you want but it's a start. Most image processing applications tend to use grayscale because it is much less data to crunch than a full color image.
For a reference check these tutorials: