arrow
返回

Teaching-learning-based optimization algorithm to minimize cross entropy for Selecting multilevel threshold values

delete2019-03-01
delete67
delete
OA
AI
H
Harmandeep Singh Gill *
B
Baljit Singh Khehra
A
Arjan Singh
L
Lovepreet Kaur
DOI:10.1016/j.eij.2018.03.006delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
Image thresholding is one of the most important approaches for image segmentation. Among multilevel thresholding techniques, cross entropy has been widely used by researchers to find multilevel threshold values. In multilevel cross entropy thresholding techniques, main target is to find an optimal combination of threshold values at different levels for minimizing the cross entropy. In this paper, Teaching-Learning-based Optimization (TLBO) algorithm is used to find an optimal combination of threshold values at different levels for minimizing the cross entropy. TLBO algorithm is inspired by passing on knowledge within a classroom environment where students first gain knowledge from a teacher and then through mutual interaction. This new proposed approach is called the TLBO-based minimum cross entropy thresholding (TLBO-based MCET) algorithm. The performance of the proposed algorithm is tested on a number of standard test images. For comparative analysis, the results of TLBO-based MCET algorithm are compared with the results of Firefly-based minimum cross entropy thresholding (FF-based MCET), Honey Bee Mating Optimization-based minimum cross entropy thresholding (HBMO-based MCET) and Quantum Particle Swarm Optimization-based minimum cross entropy thresholding (Quantam PSObased MCET). Comparative analysis is done based on two most popular objective performance measures, Peak Signal to Noise Ratio (PSNR) and Uniformity. From experimental results, it is observed that the proposed method is an efficient and feasible method to search an optimal combination of threshold values at 2nd, 3rd, 4th and 5th levels. (C) 2019 Production and hosting by Elsevier B. V. on behalf of Faculty of Computers and Information, Cairo University.
Keyword:
Cross entropy
Teacher-Learning-based Optimization (TLBO)
Thresholding
PSNR
Uniformity
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Egyptian Informatics Journal 封面图
Egyptian Informatics Journal
IF:
4.3
论文数:
787
被引数:
1.4K

机构

P
Punjabi University
学者数:
1.5K
论文数: 1.4K
被引数: 1.2K
I
i k gujral punjab technical university
学者数:
546
论文数: 584
被引数: 0
引用论文

引用论文

Generation Dependent Ultrafast Charge Separation and Recombination in a Pyrene-Viologen Family of Dendrons
err2016-05-02
err0
PREAI
errZheng Gong; Jianhua Bao; Keiji Nagai; Tomokazu Iyoda; Takehiro Kawauchi; Piotr Piotrowiak
err分享
err收藏
Le groupe stratégique des entreprises de terroir
err2012-02-16
err0
errOAAI
errJean-Louis Rastoin; Véronique Vissac-Charles
err分享
err收藏
学者 查看更多内容