image thresholding

Innocent Iguana answered on November 13, 2022 Popularity 9/10 Helpfulness 1/10

answer image thresholding

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image thresholding

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- Also known as segmenting image
- Apply a threshold value on every pixel of the image
- Divides the image into distinct groups

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Contributed on May 07 2023

Innocent Iguana

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# Python program to illustrate
# simple thresholding type on an image
     
# organizing imports
import cv2
import numpy as np
 
# path to input image is specified and 
# image is loaded with imread command
image1 = cv2.imread('input1.jpg')
 
# cv2.cvtColor is applied over the
# image input with applied parameters
# to convert the image in grayscale
img = cv2.cvtColor(image1, cv2.COLOR_BGR2GRAY)
 
# applying different thresholding
# techniques on the input image
# all pixels value above 120 will
# be set to 255
ret, thresh1 = cv2.threshold(img, 120, 255, cv2.THRESH_BINARY)
ret, thresh2 = cv2.threshold(img, 120, 255, cv2.THRESH_BINARY_INV)
ret, thresh3 = cv2.threshold(img, 120, 255, cv2.THRESH_TRUNC)
ret, thresh4 = cv2.threshold(img, 120, 255, cv2.THRESH_TOZERO)
ret, thresh5 = cv2.threshold(img, 120, 255, cv2.THRESH_TOZERO_INV)
 
# the window showing output images
# with the corresponding thresholding
# techniques applied to the input images
cv2.imshow('Binary Threshold', thresh1)
cv2.imshow('Binary Threshold Inverted', thresh2)
cv2.imshow('Truncated Threshold', thresh3)
cv2.imshow('Set to 0', thresh4)
cv2.imshow('Set to 0 Inverted', thresh5)
   
# De-allocate any associated memory usage 
if cv2.waitKey(0) & 0xff == 27:
    cv2.destroyAllWindows()

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Source: www.geeksforgeeks.org

Tags: image-thresholding image-thresholdin

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Contributed on Nov 13 2022

Danainan Chamnanpaison

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image thresholding

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