Segmentation of Perspective Textured Planes through the Ridges of Continuous Wavelet Transform

Abstract

A common assumption of the shape from texture problem is that a perceived image primarily contains only one type of texture with the same surface orientations. Unfortunately, a natural image is often composed of textured planes with different surface orientations. In order to deal with the shape from texture problem in a practical manner, we need to segment these surface orientations. The ridges are wavelet attributes in which information about spatial frequencies resides. In this paper, we propose a robust method for treating this problem from the ridges of continuous wavelet transform. We demonstrate the performance of our method on textured images synthesized from the Brodatz texture and several natural images.