Microsoft Word - Submitted-ICECE-PIpeMult-Kim
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چکیده
In this paper, we present a method for edge segmentation of satellite images based on 2-D Phase Congruency (PC) model. The proposed approach is composed by two steps: The contextual non linear smoothing algorithm (CNLS) is used to smooth the input images. Then, the 2D stretched Gabor filter (S-G filter) based on proposed angular variation is developed in order to avoid the multiple responses in the previous work. An assessment of our proposed method performance is provided in terms of accuracy of satellite image edge segmentation. The proposed method is compared with others known approaches. Keywords—Edge segmentation, Phase congruency model, Satellite images, Stretched Gabor filter
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Microsoft Word - Submitted-ICECE-PIpeMult-Kim
In this work, we present a comparison between two techniques of image compression. In the first case, the image is divided in blocks which are collected according to zig-zag scan. In the second one, we apply the Fast Cosine Transform to the image, and then the transformed image is divided in blocks which are collected according to zig-zag scan too. Later, in both cases, the Karhunen-Loève trans...
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4 Xavier Bonnet, Alain Fizesan, Catherine Louise Michel 5 6 7 1. CEBC-CNRS, 79360 Villers en Bois, France 8 9 Correspondance : Xavier Bonnet ; Tel +33 549 097 879 ; Fax +33 549 096 111 ; email 10 [email protected] 11 12 13 Submitted for consideration in Journal of Experimental Biology 14 15 16
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