thresholding.py

from sqlite3 import adapt
import cv2 as cv
import numpy as np

img = cv.imread('Photos/KenKaneki.jpg')
cv.imshow('Ken', img)

gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
cv.imshow('Gray', gray)

# 1. Simple Thresholding
threshold, thresh = cv.threshold(gray, 150, 255, cv.THRESH_BINARY)
cv.imshow('Simple Thresholded Image', thresh)

threshold, thresh_inv = cv.threshold(gray, 150, 255, cv.THRESH_BINARY_INV)
cv.imshow('Simple Inversed Thresholded Image', thresh_inv)

# 2. Adaptive Thresholding
adaptive_thresh = cv.adaptiveThreshold(gray, 255, cv.ADAPTIVE_THRESH_MEAN_C, cv.THRESH_BINARY, 11, 3)
cv.imshow('Adaptive Thresholded Image', adaptive_thresh)

adaptive_thresh_inv = cv.adaptiveThreshold(gray, 255, cv.ADAPTIVE_THRESH_MEAN_C, cv.THRESH_BINARY_INV, 11, 3)
cv.imshow('Adaptive Inversed Thresholded Image', adaptive_thresh_inv)

adaptive_thresh_gauss = cv.adaptiveThreshold(gray, 255, cv.ADAPTIVE_THRESH_GAUSSIAN_C, cv.THRESH_BINARY, 11, 3)
cv.imshow('Adaptive Gaussian Thresholded Image', adaptive_thresh_gauss)

cv.waitKey()