@inproceedings{904902c67a5c4e649fa2527cc5cf1908,
title = "Smooth image segmentation via multiresolution analysis",
abstract = "In this paper, the problem of segmentation of smooth images has been studied using multiresolution analysis. The approximated image intensity function is modeled as a quadratic polynomial with additive noise within local windows. The analysis has been carried out with the aid of a new orthonormal wavelet basis introduced in this paper. A procedure has been developed to approximate an image at a coarse resolution by dropping the components of the image in such a way that small bumps at finer resolutions are suppressed. An image segmentation scheme is proposed. It performs initial segmentation on a coarse approximation of the image, and then updates the segments of the image at a finer resolution. The proposed algorithm has been tested on a variety of real images such as human faces, natural scenes, and medical images.",
author = "Jing Zhou and Xiang Fang and Ghosh, {Bijoy K.}",
year = "1994",
language = "English",
isbn = "0819416274",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "Society of Photo-Optical Instrumentation Engineers",
pages = "462--472",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",
note = "null ; Conference date: 27-07-1994 Through 29-07-1994",
}