Open Access Open Access  Restricted Access Subscription or Fee Access

Multi-Objective Optimization for Image Segmentation Based on the Tsallis and Rényi Entropies

Salah Eddine MECHKOURI, Saleh EL JOUMANI, Lhoussaine MASMOUDI

Abstract



Multi-objective optimization is one of the techniques increasingly implemented for image segmentation. In this paper, we present a new thresholding technique based on the Tsallis and Rényi entropies for the satellite image segmentation. This technique is part of the multi-objective optimization approach. We will compare this technique with the one previously developed by El Joumani et al [4]. This technique allows the use of the multi-objective optimization approach to find the optimal thresholds regarding two criteria: Tsallis criterion and Rényi criterion. The evaluation of our method is built on the Levine and Nazif criterion and the mean squared error. It has been tested on synthetic images, and applied to the segmentation of a very high spatial resolution satellite image of the desert environment. The selected zone of study is located in Laâyoune-Sakia-el-Hamra province, in the South-West of Morocco. Our approach has given a satisfactory result.

Keywords


Multi-objective optimization, Segmentation, Tsallis and Rényi entropies, Worldview Image.

Full Text:

PDF

Refbacks

  • There are currently no refbacks.


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.