Structural Stability Analysis for Texture Recognition

The tree-structured wavelet transform has received a lot of attention and has found successful applications in signal denoising, image coding, image analysis, etc. In this paper, we present an analysis of the structural stability of the tree-structured wavelet transform, a topic which has not been addressed properly in previous research. We also present a texture classification algorithm based on a bottomup tree-structured wavelet transform. The proposed approach does not require ad-hoc parameters and demonstrates superior performance, as compared to the top-down approach proposed previously.

• Type: Conference
• Year: 2000
• Where: MVA
• Authors: Yukinobu Miyamoto, Mahdad Nouri Shirazi, Kuniaki Uehara
• Keywords: Bottomup Tree-structured Wavelet, MVA 2000, MVA 2007, Texture Classification Algorithm, Tree-structured Wavelet Transform