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Differential evolutionary superpixel segmentation
Gong Y.-J.1; Zhou Y.2
2018-03-01
Source PublicationIEEE Transactions on Image Processing
ISSN10577149
Volume27Issue:3Pages:1390-1404
Abstract

Superpixel segmentation has been of increasing importance in many computer vision applications recently. To handle the problem, most state-of-the-art algorithms either adopt a local color variance model or a local optimization algorithm. This paper develops a new approach, named differential evolutionary superpixels, which is able to optimize the global properties of segmentation by means of a global optimizer. We design a comprehensive objective function aggregating within-superpixel error, boundary gradient, and a regularization term. Minimizing the within-superpixel error enforces the homogeneity of superpixels. In addition, the introduction of boundary gradient drives the superpixel boundaries to capture the natural image boundaries, so as to make each superpixel overlaps with a single object. The regularizer further encourages producing similarly sized superpixels that are friendly to human vision. The optimization is then accomplished by a powerful global optimizer'differential evolution. The algorithm constantly evolves the superpixels by mimicking the process of natural evolution, while using a linear complexity to the image size. Experimental results and comparisons with eleven state-ofthe- art peer algorithms verify the promising performance of our algorithm.

KeywordClustering Differential Evolution Preprocessing Seeding Superpixel Segmentation
DOI10.1109/TIP.2017.2778569
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000418863500014
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Cited Times [WOS]:12   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.South China University of Technology
2.Universidade de Macau
Recommended Citation
GB/T 7714
Gong Y.-J.,Zhou Y.. Differential evolutionary superpixel segmentation[J]. IEEE Transactions on Image Processing,2018,27(3):1390-1404.
APA Gong Y.-J.,&Zhou Y..(2018).Differential evolutionary superpixel segmentation.IEEE Transactions on Image Processing,27(3),1390-1404.
MLA Gong Y.-J.,et al."Differential evolutionary superpixel segmentation".IEEE Transactions on Image Processing 27.3(2018):1390-1404.
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