Image segmentation using spectral clustering

17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05) Pub Date : 2005-11-14 DOI:10.1109/ICTAI.2005.74

Wang Chongjun, Liao Jun, Ding Lin, Tian Juan, C. Shifu

引用次数: 10

Abstract

This paper focuses on how to automatically determine the suitable clustering number in image segmentation and designs an algorithm of CANA using spectral clustering. Experiment results indicate that ACNA can provide superior performance. An application sample in image punching is introduced

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基于光谱聚类的图像分割

本文主要研究了图像分割中如何自动确定合适的聚类数，并设计了一种基于光谱聚类的图像分割算法。实验结果表明，ACNA具有较好的性能。介绍了在图像冲孔中的应用实例

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)

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