Jayawardena, Ashoka

Kwan, Paul H

2013

In this paper we discuss a model that is able to segment textures using active contours. Our technique is based on active contour techniques using. curve evolution. We build our model on properties of human vision, in that we segment the textures in a certain feature space. We will show the advantages of using modulus feature spaces. Wavelet coefficients are shown to exhibit local features both in space and frequency domains. We will implement our model in modulus wavelet subbands.

Innovations and Advances in Computer, Information, Systems Sciences, and Engineering, p. 537-544

9781461435341

9781461435358

https://hdl.handle.net/1959.11/12438

Springer

Lecture Notes in Electrical Engineering

1

Active Contour Texture Segmentation in Modulus Wavelet Feature Spaces

Conference Publication

Publication