What is the new/novel objective functions for Optimal Multilevel Thresholding Image Segmentation other than the Kapur's and Otsu's objective functions.
Yes there are other multilevel thresholds segmentation other than Kapur's and Otsus's such as :
1-Article Multilevel Thresholding Method Based on Electromagnetism for...
2- Multilevel thresholding for image segmentation through a fast statistical recursive algorithm
http://people.ece.cornell.edu/acharya/papers/mlt_thr_img.pdf
There are plenty of them...
A sample is attached here.
import numpy as np import cv2 from matplotlib import pyplot as plt img = cv2.imread('5120E.JPG') gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) gray = np.float32(gray) methods = [ ("THRESH_BINARY", cv2.THRESH_BINARY), ("THRESH_BINARY_INV", cv2.THRESH_BINARY_INV), ("THRESH_TRUNC", cv2.THRESH_TRUNC), ("THRESH_TOZERO", cv2.THRESH_TOZERO), ("THRESH_TOZERO_INV", cv2.THRESH_TOZERO_INV)] # loop over the threshold methods for (threshName, threshMethod) in methods: (T, thresh) = cv2.threshold(gray, 245, 255, threshMethod) thresh = cv2.resize(thresh, (128,128)) cv2.imshow(threshName, thresh) cv2.waitKey(0) # threshold the image and show it
Dear Essam H. Houssein
Check this paper, it may help in that
Article Breast Cancer Segmentation From Thermal Images Based on Chao...
Look at this paper :
Article A Multilevel Image Thresholding Method Based on Subspace Eli...
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