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A novel workspace for image clustering

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3 Author(s)
Michail Krinidis ; Information Management Department, Technological Institute of Kavala, Ag. Loukas, 65404, Greece ; Stelios Krinidis ; Vassilios Chatzis

A novel image clustering method based on the image histogram, which is processed by the empirical mode decomposition (EMD) is presented. An intermediate step derived from the EMD, which can decompose any nonlinear and non-stationary data into a number of intrinsic mode functions (IMFs) is exploited. The IMFs of the image histogram have interesting characteristics and provide a novel workspace that is utilized in order to automatically detect the different clusters into the image under examination. The proposed method was applied to several real and synthetic images and the obtained results show good image clustering robustness.

Published in:

2011 17th International Conference on Digital Signal Processing (DSP)

Date of Conference:

6-8 July 2011