Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/1460
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dc.contributor.authorAdetiba, Emmanuel-
dc.contributor.authorOyewole, Stanley A.-
dc.contributor.authorOlugbara, Oludayo O.-
dc.date.accessioned2016-04-08T11:08:39Z-
dc.date.available2016-04-08T11:08:39Z-
dc.date.issued2015-
dc.identifier.citationOlugbara, O.; Adetiba, E. and Oyewole, S. A. 2015. Pixel intensity clustering algorithm for multilevel image segmentation. Mathematical Problems in Engineering. Article ID 649802, 19 pagesen_US
dc.identifier.issn1024-123X-
dc.identifier.urihttp://hdl.handle.net/10321/1460-
dc.description.abstractImage segmentation is an important problem that has received significant attention in the literature. Over the last few decades, a lot of algorithms were developed to solve image segmentation problem; prominent amongst these are the thresholding algorithms. However, the computational time complexity of thresholding exponentially increases with increasing number of desired thresholds. A wealth of alternative algorithms, notably those based on particle swarm optimization and evolutionary metaheuristics, were proposed to tackle the intrinsic challenges of thresholding. In codicil, clustering based algorithms were developed as multidimensional extensions of thresholding. While these algorithms have demonstrated successful results for fewer thresholds, their computational costs for a large number of thresholds are still a limiting factor. We propose a new clustering algorithm based on linear partitioning of the pixel intensity set and between-cluster variance criterion function for multilevel image segmentation. The results of testing the proposed algorithm on real images from Berkeley Segmentation Dataset and Benchmark show that the algorithm is comparable with state-of-the-art multilevel segmentation algorithms and consistently produces high quality results. The attractive properties of the algorithm are its simplicity, generalization to a large number of clusters, and computational cost effectiveness.en_US
dc.format.extent19 pen_US
dc.language.isoenen_US
dc.publisherHindawi Publishing Corporationen_US
dc.relation.ispartofMathematical problems in engineering (Print)-
dc.titlePixel intensity clustering algorithm for multilevel image segmentationen_US
dc.typeArticleen_US
dc.dut-rims.pubnumDUT-004901en_US
item.grantfulltextopen-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.openairetypeArticle-
Appears in Collections:Research Publications (Accounting and Informatics)
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