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Proceedings Paper

Image segmentation in wavelet transform space implemented on DSP
Author(s): Volodymyr I. Ponomaryov; Heydy Castillejos; Ricardo Peralta-Fabi
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Paper Abstract

A novel approach in the segmentation for the images of different nature employing the feature extraction in WT space before the segmentation process is presented. The designed frameworks (W-FCM, W-CPSFCM and WK-Means) according to AUC analysis have demonstrated better performance novel frameworks against other algorithms existing in literature during numerous simulation experiments with synthetic and dermoscopic images. The novel W-CPSFCM algorithm estimates a number of clusters in automatic mode without the intervention of a specialist. The implementation of the proposed segmentation algorithms on the Texas Instruments DSP TMS320DM642 demonstrates possible real time processing mode for images of different nature.

Paper Details

Date Published: 30 April 2012
PDF: 12 pages
Proc. SPIE 8437, Real-Time Image and Video Processing 2012, 843703 (30 April 2012); doi: 10.1117/12.921878
Show Author Affiliations
Volodymyr I. Ponomaryov, National Polytechnic Institute of Mexico (Mexico)
Heydy Castillejos, National Polytechnic Institute of Mexico (Mexico)
Ricardo Peralta-Fabi, Univ. Nacional Autónoma de México (Mexico)

Published in SPIE Proceedings Vol. 8437:
Real-Time Image and Video Processing 2012
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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