Image segmentation in wavelet transform space implemented on DSP

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.