Fuzzy Similarity Measure Based Spectral Clustering Framework for Noisy Image Segmentation

Author:

Goyal Subhanshu1,Kumar Sushil2,Zaveri M. A.3,Shukla A. K.2

Affiliation:

1. Department of Mathematics, Marwadi University, Rajkot, Gujarat 360003, India

2. Applied Mathematics & Humanities Department, S.V. National Institute of Technology, Surat, Gujarat 395007, India

3. Department of Computer Science & Engineering, S.V. National Institute of Technology, Surat, Gujarat 395007, India

Abstract

In recent times, graph based spectral clustering algorithms have received immense attention in many areas like, data mining, object recognition, image analysis and processing. The commonly used similarity measure in the clustering algorithms is the Gaussian kernel function which uses sensitive scaling parameter and when applied to the segmentation of noise contaminated images leads to unsatisfactory performance because of neglecting the spatial pixel information. The present work introduces a novel framework for spectral clustering which embodied local spatial information and fuzzy based similarity measure to tackle the above mentioned issues. In our approach, firstly we filter the noise components from original image by using the spatial and gray–level information. The similarity matrix is then constructed by employing a similarity measure which takes into account the fuzzy c-partition matrix and vectors of the cluster centers obtained by fuzzy c-means clustering algorithm. In the last step, spectral clustering technique is realized on derived similarity matrix to obtain the desired segmentation result. Experimental results on segmentation of synthetic and Berkeley benchmark images with noise demonstrates the effectiveness and robustness of the proposed method, giving it an edge over the clustering based segmentation method reported in the literature.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Software

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Interactive decision-making for autonomous vehicles: A layered game-theoretic framework with situational awareness;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2024-07-23

2. Distributed 3D Interior Design System Based on Fuzzy Clustering Algorithm;2023 International Conference on Telecommunications, Electronics and Informatics (ICTEI);2023-09-11

3. Image segmentation by selecting eigenvectors based on extended information entropy;IET Image Processing;2023-07-30

4. Master-slave hierarchy local information driven fuzzy C-means clustering for noisy image segmentation;The Visual Computer;2023-04-15

5. Analysis of Graphic Perception Education for Young Children Based on Fuzzy Clustering Analysis;Computational Intelligence and Neuroscience;2022-06-21

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3