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Color Image Segmentation Using Fuzzy C-Regression Model
Joint Authors
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-16
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Image segmentation is one important process in image analysis and computer vision and is a valuable tool that can be applied in fields of image processing, health care, remote sensing, and traffic image detection.
Given the lack of prior knowledge of the ground truth, unsupervised learning techniques like clustering have been largely adopted.
Fuzzy clustering has been widely studied and successfully applied in image segmentation.
In situations such as limited spatial resolution, poor contrast, overlapping intensities, and noise and intensity inhomogeneities, fuzzy clustering can retain much more information than the hard clustering technique.
Most fuzzy clustering algorithms have originated from fuzzy c-means (FCM) and have been successfully applied in image segmentation.
However, the cluster prototype of the FCM method is hyperspherical or hyperellipsoidal.
FCM may not provide the accurate partition in situations where data consists of arbitrary shapes.
Therefore, a Fuzzy C-Regression Model (FCRM) using spatial information has been proposed whose prototype is hyperplaned and can be either linear or nonlinear allowing for better cluster partitioning.
Thus, this paper implements FCRM and applies the algorithm to color segmentation using Berkeley’s segmentation database.
The results show that FCRM obtains more accurate results compared to other fuzzy clustering algorithms.
American Psychological Association (APA)
Chen, Min& Ludwig, Simone A.. 2017. Color Image Segmentation Using Fuzzy C-Regression Model. Advances in Fuzzy Systems،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1121813
Modern Language Association (MLA)
Chen, Min& Ludwig, Simone A.. Color Image Segmentation Using Fuzzy C-Regression Model. Advances in Fuzzy Systems No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1121813
American Medical Association (AMA)
Chen, Min& Ludwig, Simone A.. Color Image Segmentation Using Fuzzy C-Regression Model. Advances in Fuzzy Systems. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1121813
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1121813