@article{15edb59a31054ceba52e3d4520661193,
title = "Automatic Image Pixel Clustering based on Mussels Wandering Optimization",
abstract = "Image pixel clustering or segmentation intends to identify pixel groups on an image without any preliminary labels. It remains a challenging task in computer vision since the size and shape of object segments are varied. Moreover, determining the segment number in an image without prior knowledge of the image content is an NP-hard problem. In this paper, we present an automatic image pixel clustering scheme based on mussels wandering optimization. An activation variable is applied to determine the number of clusters automatically with the cluster centers optimization. We revise the within-and between-class sum of squares ratio for random natural image content and develop a novel fitness function for the image pixel clustering task. Our proposed scheme is compared against existing state-of-The-Art techniques using both synthetic data and real ASD dataset. Experimental results show the superiority performance of the proposed scheme.",
keywords = "Mussels wandering optimization, image segmentation, pixel clustering, swarm intelligence",
author = "Xin Zhong and Shih, {Frank Y.}",
note = "Funding Information: B.S. from National Cheng Kung University, Tainan, Taiwan, in 1980, M.S. from State University of New York, Stony Brook, USA, in 1983, and Ph.D. from Purdue University, West Lafayette, Indiana, USA, in 1987. He is a Professor jointly appoin ted in the Department of Computer Science, the Department of Electrical and Computer Engineering, and the Department of Biomedical Engineering at New Jersey Institute of Technology, Newark, New Jersey. He currently serves as the Director of Arti¯cial Intelligence and Computer Vision Laboratory. He held a Visiting Professor position at Princeton University, Columbia University, National Taiwan University, National Institute of Informatics, Tokyo, Conservatoire National Des Arts Et Metiers, Paris, and Nanjing University of Information Science and Technology, China. He is an internationally renowned scholar and currently serves as Editor-in-Chief for the International Journal of Pattern Recognition and Arti¯cial Intelligence. He was Editor-in-Chief for the International Journal of Multimedia Intelligence and Security. In addition, he is on the Editorial Board of 12 international journals. He has served as a steering member, session chair, and committee member for numerous professional conferences and workshops. He has received numerous grants from National Science Foundation, NIH, NASA, Navy and Air Force, and Industry. He has won the Research Initiation Award from NSF, the Outstanding Teaching Award and the Board of Overseers Excellence in Research Award from NJIT, and the Best Paper Awards from journals and conferences. He is internationally recognized as an expert in Arti¯cial Intelligence and Pattern Recognition, Deep Learning, Watermarking, Steganography, and Forensics. He has authored six books including \Digital Watermarking and Steganography{"}, \Image Processing and Mathematical Morphology{"}, \Image Processing and Pattern Recognition{"}, and \Multimedia Security: Watermarking, Steganography, and Forensics{"}. He has published over 140 journal papers, 100 conference papers, and 24 book chapters. His current research interests include arti¯cial intelligence, deep learning, image processing, watermarking and steganography, digital forensics, pattern recognition, bioinformatics, biomedical engineering, fuzzy logic, and neural networks. Publisher Copyright: {\textcopyright} 2021 World Scientific Publishing Company.",
year = "2021",
month = feb,
doi = "10.1142/S0218001421540057",
language = "English (US)",
volume = "35",
journal = "International Journal of Pattern Recognition and Artificial Intelligence",
issn = "0218-0014",
publisher = "World Scientific Publishing Co. Pte Ltd",
number = "2",
}