使用颜色和细节聚类的Skyline图像分割

2018 14th Symposium on Neural Networks and Applications (NEUREL) Pub Date : 2018-11-01 DOI:10.1109/NEUREL.2018.8586988

A. Pavlović, A. Gavrovska, Nataša S. Milosavljević

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引用次数: 0

摘要

有很多不同的分割方法用于定位物体或特定场景部分。最有趣的场景部分之一可能是地平线或天际线。适当的天际线图像分割包括将天际线区域和图像的其余部分适当划分为三个簇。分析了颜色对天际线分割的影响。

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The Skyline Image Segmentation using Color and Detail Clustering

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.

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2018 14th Symposium on Neural Networks and Applications (NEUREL)

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