Texture Segmentation by Local Bi-Orthogonal Decomposition

1994/07/26 by J. A. Dente, J.A. Dente, Dente, J. A. +5
Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Cell Image Analysis Techniques #Chaotic Dynamics (nlin.CD) #FOS: Physical sciences #Image Retrieval and Classification Techniques #Medical Image Segmentation Techniques #chao-dyn #nlin.CD

paper · pdf · doi:10.48550/arxiv.chao-dyn/9407012

9 pages,CPT-94/P.3010,tex,18 fig available on cpt.univ-mrs.fr directory pub/preprints/94/dynamical-systems/94-P.3010

arxiv created 1994/07/26 · openalex publication_date 1994/07/26 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We investigate the ability of a local bi-orthogonal decomposition to build texture segmentation of images. Using the structures associated to the local decomposition of the image independent row and columns we perform a segmentation, where the regions are defined by the property of having a smooth variation of the corresponding entropy. Examples are choosen in texture made and also in real life images. The size of the local analysis is also determined by the properties of the (global) bi-orthogonal decomposition.

Related

• Segmentation of Natural Images by Texture and Boundary Compression
• Some Theory for Texture Segmentation
• Texture Object Segmentation Based on Affine Invariant Texture Detection
• Cartoon-texture evolution for two-region image segmentation
• A Novel Active Contour Model for Texture Segmentation