Visual Sensor Based Image Segmentation by Fuzzy Classification and Subregion Merge
Joint Authors
Mao, Xiaoqian
Li, Wei
Niu, Linwei
Chen, Genshe
He, Huidong
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-25
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Abstract EN
The extraction and tracking of targets in an image shot by visual sensors have been studied extensively.
The technology of image segmentation plays an important role in such tracking systems.
This paper presents a new approach to color image segmentation based on fuzzy color extractor (FCE).
Different from many existing methods, the proposed approach provides a new classification of pixels in a source color image which usually classifies an individual pixel into several subimages by fuzzy sets.
This approach shows two unique features: the spatial proximity and color similarity, and it mainly consists of two algorithms: CreateSubImage and MergeSubImage.
We apply the FCE to segment colors of the test images from the database at UC Berkeley in the RGB, HSV, and YUV, the three different color spaces.
The comparative studies show that the FCE applied in the RGB space is superior to the HSV and YUV spaces.
Finally, we compare the segmentation effect with Canny edge detection and Log edge detection algorithms.
The results show that the FCE-based approach performs best in the color image segmentation.
American Psychological Association (APA)
He, Huidong& Mao, Xiaoqian& Li, Wei& Niu, Linwei& Chen, Genshe. 2017. Visual Sensor Based Image Segmentation by Fuzzy Classification and Subregion Merge. Journal of Electrical and Computer Engineering،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1175360
Modern Language Association (MLA)
He, Huidong…[et al.]. Visual Sensor Based Image Segmentation by Fuzzy Classification and Subregion Merge. Journal of Electrical and Computer Engineering No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1175360
American Medical Association (AMA)
He, Huidong& Mao, Xiaoqian& Li, Wei& Niu, Linwei& Chen, Genshe. Visual Sensor Based Image Segmentation by Fuzzy Classification and Subregion Merge. Journal of Electrical and Computer Engineering. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1175360
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175360