Abstract
This paper presents a new methodology for multi-scale texture analysis. The basic idea is that an image texture is viewed as a tessellation of square texels of different sizes and pixel levels. A textural image is decomposed into a set of scale images and each scale image consists of square texels of the same size. The texels in a scale image may have different pixel values. The degree of presence of a texel in a textural image can be measured by the image area occupied by the texel in terms of pixel. The histogram of texel area is shown to be a useful texture feature, and a dominant texture scale derived from the histogram provides a good reference parameter for computing gray-level co-occurrence matrix.
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© 2011 Springer-Verlag Berlin Heidelberg
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Song, Q. (2011). A New Multi-scale Texture Analysis with Structural Texel. In: Shen, G., Huang, X. (eds) Advanced Research on Computer Science and Information Engineering. CSIE 2011. Communications in Computer and Information Science, vol 152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21402-8_10
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DOI: https://doi.org/10.1007/978-3-642-21402-8_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21401-1
Online ISBN: 978-3-642-21402-8
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