Hierarchical texture motifs

Shawn Newsam

doi:10.1117/12.704749

27 February 2007 Hierarchical texture motifs

Shawn Newsam

Proceedings Volume 6497, Image Processing: Algorithms and Systems V; 649708 (2007) https://doi.org/10.1117/12.704749
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

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.

Citation Download Citation

Shawn Newsam "Hierarchical texture motifs", Proc. SPIE 6497, Image Processing: Algorithms and Systems V, 649708 (27 February 2007); https://doi.org/10.1117/12.704749

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