Amanote Research
Register
Sign In
An Improved Image Segmentation Method Based on Shannon Entropy and Biogeography Based Optimization
doi 10.2991/emcm-16.2017.105
Full Text
Open PDF
Abstract
Available in
full text
Date
January 1, 2017
Authors
Mengqing Feng
Publisher
Atlantis Press
Related search
A New Image Threshold Segmentation Based on Fuzzy Entropy and Improved Intelligent Optimization Algorithm
Journal of Multimedia
An Improved Image Segmentation Algorithm Based on the Maximum Class Variance Method
MATEC Web of Conferences
Materials Science
Engineering
Chemistry
Image Segmentation Based on Modified Tsallis Entropy
Contemporary Engineering Sciences
Materials Science
Mutagenesis
Computer Networks
Fluid Flow
Communications
Engineering
Health
Transfer Processes
Toxicology
Social Sciences
An Image Segmentation Method Using an Active Contour Model Based on Improved SPF and LIF
Applied Sciences (Switzerland)
Instrumentation
Materials Science
Fluid Flow
Engineering
Computer Science Applications
Process Chemistry
Transfer Processes
Technology
An Improved Algorithm Based on Wellner’s Threshold Segmentation Method
Open Cybernetics and Systemics Journal
Control
Systems Engineering
Mathematics
A New Optimization-Based Image Segmentation Method by Particle Swarm Optimization
International Journal of Advanced Computer Science and Applications
Computer Science
Gravel Image Auto-Segmentation Based on an Improved Normalized Cuts Algorithm
Journal of Applied Mathematics and Physics
Molecular Image Segmentation Based on Improved Fuzzy Clustering
International Journal of Biomedical Imaging
Nuclear Medicine
Radiology
Imaging
An Image Enhancement Method Based on Improved Fuzzy Set
Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia
Engineering