A Novel Practical Decisive Row-Class Entropy-Based Technique for Multilevel Threshold Selection Using Opposition Flow Directional Algorithm

A Novel Practical Decisive Row-Class Entropy-Based Technique for Multilevel Threshold Selection Using Opposition Flow Directional Algorithm

One of today’s inspiring issues is the 2D histogram-based multilevel threshold selection which is used for segmenting images into several regions. The image analysis warrants exploration of multiclass thresholding techniques using various entropy-based objective functions. In this context...

Full description

Bibliographic Details
Main Authors: Rutuparna Panda, Monorama Swain, Manoj Kumar Naik, Sanjay Agrawal, Ajith Abraham
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Image processing
multilevel thresholding
entropy
computational intelligence
machine learning
Online Access:https://ieeexplore.ieee.org/document/9921299/

Internet

https://ieeexplore.ieee.org/document/9921299/

Similar Items