I’m new in skimage and I want to extract HOG-features from traffic sign images. The images were taken under different weather conditions.
Does is make sense to do histogram equalization before extracting HOG features?
from skimage import exposure from skimage.feature import hog img_eq = exposure.equalize_hist(img) hog_img = hog(img_eq, orientations=9, pixels_per_cell=(4,4), cells_per_block=(2,2), visualize=False)
Or is that superfluous?
I’m asking because I have a memory problem if I do histogram equalization. Therefore, it would be good to know if this has any major impact on determining the HOG features.
I look forward to your opinions and thank you in advance.