27 February 2007 Hierarchical texture motifs
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A fundamental challenge in analyzing spatial patterns in images is the notion of scale. Texture based analysis typically characterizes spatial patterns only at the pixel level. Such small scale analysis usually fails to capture spatial patterns that occur over larger scales. This paper presents a novel solution, termed hierarchical texture motifs, to this texture-of-textures problem. Starting at the pixel level, spatial patterns are characterized using parametric statistical models and unsupervised learning. Higher levels in the hierarchy use the same analysis to characterize the motifs learned at the lower levels. This multi-level analysis is shown to outperform single-level analysis in classifying a standard set of image textures.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shawn Newsam, Shawn Newsam, } "Hierarchical texture motifs", Proc. SPIE 6497, Image Processing: Algorithms and Systems V, 649708 (27 February 2007); doi: 10.1117/12.704749; https://doi.org/10.1117/12.704749

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