Journal ArticleDOI
Color image segmentation using competitive learning
T. Uchiyama,M.A. Arbib +1 more
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TLDR
It is shown that competitive learning converges to approximate the optimum solution based on this criterion, theoretically and experimentally, and its efficiency as a color image segmentation method is shown.Abstract:
Presents a color image segmentation method which divides the color space into clusters. Competitive learning is used as a tool for clustering the color space based on the least sum-of-squares criterion. We show that competitive learning converges to approximate the optimum solution based on this criterion, theoretically and experimentally. We apply this method to various color scenes and show its efficiency as a color image segmentation method. We also show the effects of using different color coordinates to be clustered, with some experimental results. >read more
Citations
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Journal ArticleDOI
Data clustering: a review
TL;DR: An overview of pattern clustering methods from a statistical pattern recognition perspective is presented, with a goal of providing useful advice and references to fundamental concepts accessible to the broad community of clustering practitioners.
IEEE transactions on pattern analysis and machine intelligence
TL;DR: This special issue aims at gathering the recent advances in learning with shared information methods and their applications in computer vision and multimedia analysis and addressing interesting real-world computer Vision and multimedia applications.
Journal ArticleDOI
Color image segmentation: advances and prospects
TL;DR: This survey provides a summary of color image segmentation techniques available now based on monochrome segmentation approaches operating in different color spaces and some novel approaches such as fuzzy method and physics-based method are investigated.
Journal ArticleDOI
Quantitative evaluation of color image segmentation results
TL;DR: This paper considers the problem of the automatic evaluation of the results of color image segmentation, and identifies some limitations in this evaluation function, and proposes two enhanced functions that correspond more closely to visual judgment.
Journal ArticleDOI
Image segmentation based on oscillatory correlation
DeLiang Wang,David Terman +1 more
TL;DR: It is argued that LEGION provides a novel and effective framework for image segmentation and figure-ground segregation and exhibits a natural capacity in segmenting images.
References
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Some methods for classification and analysis of multivariate observations
TL;DR: The k-means algorithm as mentioned in this paper partitions an N-dimensional population into k sets on the basis of a sample, which is a generalization of the ordinary sample mean, and it is shown to give partitions which are reasonably efficient in the sense of within-class variance.
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Introduction to Statistical Pattern Recognition
TL;DR: This completely revised second edition presents an introduction to statistical pattern recognition, which is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field.
Journal ArticleDOI
An Algorithm for Vector Quantizer Design
Y. Linde,A. Buzo,Robert M. Gray +2 more
TL;DR: An efficient and intuitive algorithm is presented for the design of vector quantizers based either on a known probabilistic model or on a long training sequence of data.
Book
Introduction To The Theory Of Neural Computation
TL;DR: This book is a detailed, logically-developed treatment that covers the theory and uses of collective computational networks, including associative memory, feed forward networks, and unsupervised learning.