Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model

This paper presents a computational model that segments images based on the textural properties of object surfaces. The proposed Coupled-Membrane model applies the weak membrane approach to an image Wl(O' derived from the power responses of a family of selfsimilar quadrature Gabor wavelets. While segmentation breaks are allowed in x and y only, coupling is introduced to in all 4 dimensions. The resulting spatial and spectral diffusion prevents minor variations in local textures from producing segmentation boundaries. Experiments showed that the model is adequate in segmenting a class of synthetic and natural texture images.

• Type: Conference
• Year: 1992
• Where: ECCV
• Authors: Tai Sing Lee, David Mumford, Alan L. Yuille
• Keywords: Computer Vision, ECCV 1992, Quadrature Gabor Wavelets, Segmentation Boundaries, Segmentation Breaks, Spectral Diffusion Prevents, Weak Membrane Approach