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Texture features for image classification
Thesis

Texture features for image classification

Yuan-Chih Chuang
Masters, 國立清華大學, 資訊工程學系
2004

Abstract

紋理分析 Texture analysis
Many proficient techniques classify texture images with high performance. However, under the unknown result, we attempt to apply a new method, wavelets, adopted by JPEG2000 and MPGE4 to classify texture images in the thesis. Fractal dimensions describe texture images by a floating point between 2 and 3. The Fourier power spectrum and the box counting method are adopted to compute two fractal dimensions. Experiments will not only include wavelets, but measure the fractal dimensions of Brodatz database.

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