Smooth image segmentation via multiresolution analysis

Jing Zhou; Xiang Fang; Bijoy K. Ghosh

doi:10.1117/12.188797

11 October 1994 Smooth image segmentation via multiresolution analysis

Jing Zhou, Xiang Fang, Bijoy K. Ghosh

Proceedings Volume 2303, Wavelet Applications in Signal and Image Processing II; (1994) https://doi.org/10.1117/12.188797
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

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.

Citation Download Citation

Jing Zhou, Xiang Fang, and Bijoy K. Ghosh "Smooth image segmentation via multiresolution analysis", Proc. SPIE 2303, Wavelet Applications in Signal and Image Processing II, (11 October 1994); https://doi.org/10.1117/12.188797

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