11 November 2004 An efficient method for image texture analysis
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Proceedings Volume 5605, Intelligent Systems in Design and Manufacturing V; (2004) https://doi.org/10.1117/12.580286
Event: Optics East, 2004, Philadelphia, Pennsylvania, United States
Abstract
We address the problem of efficiency in image texture analysis. Motivated by the statistical occupancy model, we introduce the notion of patch re-occurrences. Using the re-occurrences, we propose the use of approximate textural features in image analysis. We describe how the proposed approximate features can be extracted for Gabor filters, a popular texture analysis method. Preliminary results on image texture classification show that the proposed method can provide an improved efficiency in the processing, without introducing any significant degradation in the classification results.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Umasankar Kandaswamy, Donald A. Adjeroh, M. C. Lee, "An efficient method for image texture analysis", Proc. SPIE 5605, Intelligent Systems in Design and Manufacturing V, (11 November 2004); doi: 10.1117/12.580286; https://doi.org/10.1117/12.580286
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