A Simple Approach to Analyze and Evaluate Image Segmentation Methods Based on Image Quality Metrics-Reference-Cited by-同舟云学术

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A Simple Approach to Analyze and Evaluate Image Segmentation Methods Based on Image Quality Metrics

Published:2023-11-24 Issue: Volume:10 Page:1-5
ISSN:
Container-title:2023 IEEE 3rd International Conference on Applied Electromagnetics, Signal Processing, & Communication (AESPC)
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Author:

P Ganesan¹^ORCID,Ravichandran M.²,Joseph L.M.I. Leo³,Sathish B.S.⁴,Prasad M. Raiendra¹,Sajiv G.⁵

Affiliation:

1. Vidya Jyothi Institute of Technology,Dept. of Electronics and Communication Engineering,Hyderabad,India

2. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Dept. of Computer Science Engineering,Chennai,India

3. SR University,Dept. of Electronics and Communication Engineering,Warangal,Telangana,India

4. Sri Venkateshwara College of Engineering,Dept. of Computer Science Engineering AI,Bengaluru,India

5. Saveetha School of Engineering, SIMATS,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389813/10389825/10390475.pdf?arnumber=10390475

Reference14 articles.

1. Intelligent Hybrid Scheme for Health Monitoring of Degrading Rotary Machines: An Adaptive Fuzzy c-Means Coupled With 1-D CNN

2. Multiresolution-Based Rough Fuzzy Possibilistic C-Means Clustering Method for Land Cover Change Detection

3. Data-Driven Skin Detection in Cluttered Search and Rescue Environments

4. Noise Robust Multiobjective Evolutionary Clustering Image Segmentation Motivated by the Intuitionistic Fuzzy Information

5. Performance of fuzzy based clustering algorithms for the segmentation of satellite images — A comparative study

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