Opencv ,matplotlib interactive thresholding finding in jupyter python 

In this  we will see how to use opencv , matplotlib.pyplot and ipywidgets to make interactive threshold finding real time in jupyter.

import cv2

import matplotlib.pyplot as plt

from ipywidgets import interactive 

def f(i,f):  #  i is for lower limit f is for the upper limit of threshold 

    img = cv2.imread('scanned.png')

    hi,threshold = cv2.threshold(img,i,f,cv2.THRESH_BINARY)

#cv2.imshow('thresg',threshold)

    plt.imshow(threshold,cmap='gray')

#cv2.waitKey()

#cv2.destroyAllWindows()

interactive_plot = interactive(f, i =(0,150),f=(100,255))

interactive_plot

use the slider to control thresholding

original image

How to detect any color in jupyter notebook witn opencv