K-Hyperline Clustering-Based Color Image Segmentation Robust to Illumination Changes

K-Hyperline Clustering-Based Color Image Segmentation Robust to Illumination Changes

Color image segmentation is very important in the field of image processing as it is commonly used for image semantic recognition, image searching, video surveillance or other applications. Although clustering algorithms have been successfully applied for image segmentation, conventional clustering...

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Bibliographic Details
Main Authors: Senquan Yang, Pu Li, HaoXiang Wen, Yuan Xie, Zhaoshui He
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Symmetry
Subjects:
image segmentation
color classification
clustering
<i>K</i>-hyperline clustering
illumination
Online Access:https://www.mdpi.com/2073-8994/10/11/610

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