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Objectness Supervised Merging Algorithm for Color Image Segmentation
Joint Authors
Wang, Zhiheng
Sima, Haifeng
Mi, Aizhong
Zou, Youfeng
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-27
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Ideal color image segmentation needs both low-level cues and high-level semantic features.
This paper proposes a two-hierarchy segmentation model based on merging homogeneous superpixels.
First, a region growing strategy is designed for producing homogenous and compact superpixels in different partitions.
Total variation smoothing features are adopted in the growing procedure for locating real boundaries.
Before merging, we define a combined color-texture histogram feature for superpixels description and, meanwhile, a novel objectness feature is proposed to supervise the region merging procedure for reliable segmentation.
Both color-texture histograms and objectness are computed to measure regional similarities between region pairs, and the mixed standard deviation of the union features is exploited to make stop criteria for merging process.
Experimental results on the popular benchmark dataset demonstrate the better segmentation performance of the proposed model compared to other well-known segmentation algorithms.
American Psychological Association (APA)
Sima, Haifeng& Mi, Aizhong& Wang, Zhiheng& Zou, Youfeng. 2016. Objectness Supervised Merging Algorithm for Color Image Segmentation. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1111993
Modern Language Association (MLA)
Sima, Haifeng…[et al.]. Objectness Supervised Merging Algorithm for Color Image Segmentation. Mathematical Problems in Engineering No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1111993
American Medical Association (AMA)
Sima, Haifeng& Mi, Aizhong& Wang, Zhiheng& Zou, Youfeng. Objectness Supervised Merging Algorithm for Color Image Segmentation. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1111993
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111993