Paper
30 April 2012 Image segmentation in wavelet transform space implemented on DSP
Author Affiliations +
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Volodymyr I. Ponomaryov, Heydy Castillejos, and Ricardo Peralta-Fabi "Image segmentation in wavelet transform space implemented on DSP", Proc. SPIE 8437, Real-Time Image and Video Processing 2012, 843703 (30 April 2012); https://doi.org/10.1117/12.921878
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image segmentation

Digital signal processing

Image processing

Wavelets

Image processing algorithms and systems

Fuzzy logic

Video

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