import cv2 import numpy as np img = cv2.imread("lena.jpg") gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) #compute histogram #create zero array for histogram, 255 bins hist = np.zeros(256) #for each pixel for p in gray.flat: hist[p]+=1 #normalize histogram to display in 256x256 image hist = hist/hist.max()*255 hist = np.uint8(hist) #create a new image for displaying histogram #note that the image origin is at top-left corner out = np.zeros((256,256,3),dtype=np.uint8) for r in range(256): cv2.line(out,(r,255),(r,255-hist[r]),(0,0,255)) cv2.imshow("Original",gray) cv2.imshow("Histogram",out) cv2.waitKey() cv2.destroyAllWindows()
Saturday, August 10, 2013
Histogram
เราลองมาคำนวณ Histogram ของรูปกันครับ
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