Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Luo, Shenga; * | Xu, Jing-Huab | Zhang, Shu-Youb
Affiliations: [a] School of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, China | [b] College of Mechanical Engineering, Zhejiang University, Hangzhou, China
Correspondence: [*] Corresponding author. Sheng Luo, School of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325000, China. Tel.: +86 13758711910; Fax: +86 05778868 9166; E-mail: ls2008@wzu.edu.cn.
Abstract: In spite of a large volume of segmentation algorithms, it is difficult to coherently segment a series of images from the same scene. Semantic segmentation might be a solution, but it is sophisticated with heavy computing cost. Many contour detectors could locate objects accurately, but the contours are broken, and Watershed algorithm could find the subtle ridges that could connect the broken contours, but often fails for over-segmentation. We try to combine these two methods to decompose images into meaningful regions, and propose an index S-measure to measure the segmentation consistency between images. Two steps are involved: detect edges by contour detector, and fuse the broken edges by Watershed algorithm. To fuse the broken edges, two ways are proposed, dilating edges with same template and with adaptive width templates. Experiments illustrate that the decomposing is fast, effectively, meaningful, robustly, and coherently, and the segmentation is consistent between images even with some transformations.
Keywords: Image analysis, image detection systems, image recognition, algorithms and filters, pattern recognition, image transforms
DOI: 10.3233/JIFS-16653
Journal: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 6, pp. 4259-4271, 2017
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl