Image Categorization Using a Heuristic Automatic Clustering Method Based on Hierarchical Clustering

被引：1

作者：

LaPlante, Francois ^{[1
]}

Kardouchi, Mustapha ^{[1
]}

Belacel, Nabil ^{[2
]}

机构：

[1] Univ Moncton, Moncton, NB E1A 3E9, Canada

[2] Natl Res Council Informat & Commun Technol, Moncton, NB, Canada

来源：

IMAGE ANALYSIS AND RECOGNITION (ICIAR 2015) | 2015年 / 9164卷

关键词：

Image classification; Image processing; Clustering; VALIDITY INDEX;

D O I：

10.1007/978-3-319-20801-5_16

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

One approach to image categorization is the use of clustering algorithms to sets of images represented by various image descriptors. We propose the use of an automatic clustering algorithm to categorize an image-set represented by color moments. Using this clustering algorithm based on hierarchical clustering, this approach produced adequate results with only minimal user input when applied to a restricted image-set.

引用

页码：150 / 158

页数：9

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