一维色级共现矩阵

2012 ELEKTRO Pub Date : 2012-05-21 DOI:10.1109/ELEKTRO.2012.6225600

M. Benco, R. Hudec, S. Matuska, M. Zachariasova

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引用次数: 3

摘要

纹理特征提取在图像分析中起着重要的作用。本文研究了一维灰度共生矩阵(GLCM)的改进。在我们的方法中，考虑了纹理的颜色信息。设计了一种新的一维色阶共现矩阵(1D-CLCM)。在2600张彩色图像数据库上验证了该方法的有效性。实验结果表明，与一维和原始GLCM相比，1D-CLCM在图像检索方面更有效。

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One-dimensional Color-level Co-occurrence matrices

The texture feature extraction plays important role in image analysis. This paper deals with improvement of the one-dimensional version of GLCM (Gray Level Cooccurrence Matrix). In our approach, the color information of texture was taken into consideration. The novel One dimensional Color Level Co-occurrence Matrix (1D-CLCM) are designed. Performances of proposed method are verified on database of 2600 color images. Experimental results demonstrated that 1D-CLCM is more effective compared to one-dimensional and original GLCM for image retrieval.

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来源期刊

2012 ELEKTRO

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