Histograms – OpenCV 3.4 with python 3 Tutorial 11
import numpy as np
from matplotlib import pyplot as plt
img = cv2.imread("sea_beach.jpg")
b, g, r = cv2.split(img)
plt.hist(b.ravel(), 256, [0, 256])
plt.hist(g.ravel(), 256, [0, 256])
plt.hist(r.ravel(), 256, [0, 256])
Hi there, I’m the founder of Pysource.
I’m a Computer Vision Consultant, developer and Course instructor.
I help Companies and Freelancers to easily and efficiently build Computer Vision Software.
Learn to build Computer Vision Software easily and efficiently.
This is a FREE Workshop where I'm going to break down the 4 steps that are necessary to build software to detect and track any object.Sign UP for FREE
Detect and Track any Object (Full Videocourse)
You can Build Software to detect and track any Object even if you have a basic programming knowledge.