Texture classification using wavelet transform

Name: Work Video:
Duration: 3 min 30 s
Description: This paper describes an algorithm for classifying textures using wavelet transforms. A set of subband features improves the classification performance and is used to lower the computational complexity. The performance of our algorithm classifies better than tree-structured wavelet transform methods with lower complexity. We show that the choice of wavelet basis is critical.
Victor DeBrunner; Madhavi Kadiyala
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