Affine Texture Analysis with Scale-Area Histogram

Qiang Song

doi:10.4028/www.scientific.net/KEM.474-476.1183

Paper Titles

Simulation and Validation of Temporal-Spatial 2-Dimensional Correlated Radar Clutter Based on SIRP
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A Method for Designing OLED Unit Template-Based Customization Technology
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Wireless Multicast Opportunistic Routing with Dual Network Coding
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Phase-Space Wave Functions of Diatomic System in One-Dimensional Nanomaterials
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Affine Texture Analysis with Scale-Area Histogram
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Numerical Simulation and Analysis on Magnetizing Exciter for Magnetic Flux Leakage
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Design and Synthesis of Er₂O₃ Films for Antireflecting Coatings
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Power Supply Prognostics and Health Management of High Reliability Electronic Systems in Rugged Environment
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A Fast and Efficient Time-Delay Estimation Algorithm for Sound Localization
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HomeKey Engineering MaterialsKey Engineering Materials Vols. 474-476Affine Texture Analysis with Scale-Area Histogram

Affine Texture Analysis with Scale-Area Histogram

Abstract:

A major problem of texture analysis is that textures in the real world are often not uniform due to variations in orientation, scale, or other visual appearance. In this paper, affine texture analysis with texel scale-area histogram is presented. A textural image is decomposed into a set of scale images and each scale image consists of square texels of the same size. The scale-area histogram of texel is used as texture feature for multi-scale texture analysis and dominant texture scale analysis. Measurement of the dominant texel sizes of textural images with different rotation angles and spatial scales indicates that rotational and scaled transformations of textural image result in the motion of translation in scale-area histogram.