The Skyline Image Segmentation using Color and Detail Clustering

被引：0

作者：

Pavlovic, Aleksandra ^{[1
]}

Gavrovska, Ana ^{[2
]}

Milosavljevic, Natasa ^{[3
]}

机构：

[1] State Univ Novi Pazar, Novi Pazar 36300, Serbia

[2] Univ Belgrade, Sch Elect Engn, Bulevar Kralja Aleksandra 73, Belgrade 11120, Serbia

[3] State Univ Novi Pazar, Dept Math Sci, Novi Pazar 36300, Serbia

来源：

2018 14TH SYMPOSIUM ON NEURAL NETWORKS AND APPLICATIONS (NEUREL) | 2018年

关键词：

image segmentation; skyline-based clustering; three-class classification; color; details;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

There are a lot of different segmentation methods used to locate objects or particular scene parts. One of the most interesting scene parts can be horizon or skyline. The proper skyline image segmentation includes proper division into three clusters: sky, skyline region and the rest of the image. This paper analyzes the influence of color for the skyline-based segmentation.

引用

页数：5

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