Chuanshuoge: opencv 13 adaptive thresholding

Sunday, 14 March 2021

original image

adaptive mean thresholding

adaptive gaussian thresholding

#main.py

import numpy as np

import cv2

cap = cv2.VideoCapture("assets/Santa Barbara.mp4")

while True:

ret, frame = cap.read()

width = int(cap.get(3))

height = int(cap.get(4))

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

#adaptive threshold (frame, max pixel value, adaptive method, threshold type, neighbour block size, c constant)

th1 = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 11, 2)

th2 = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 11, 2)

cv2.imshow('frame', frame)

cv2.imshow('threshold mean', th1)

cv2.imshow('threshold gaussian', th2)

if cv2.waitKey(1) == ord('q'):

break

if cv2.waitKey(1) == ord('p'):

# wait until any key is pressed

cv2.waitKey(-1)

cap.release()

cv2.destroyAllWindows()

reference:

Chuanshuoge