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A Proposed Method for Contour Extraction of an Image Based On Self- Affine Mapping System by Fractal Coding

ISSN-2223-4985
Journal from gdlhub / 2012-06-22 15:54:38
Oleh : Sri Shimal Das , Dibyendu Ghoshal , International Journal of Information and Communication Technology Research
Dibuat : 2012-06-22, dengan 1 file

Keyword : Contour Extraction, Fractals coding, Self-Affine Snake, Image segmentation, LIFS.
Url : http://esjournals.org/journaloftechnology/archive/vol1no6/vol1no6_5.pdf
Sumber pengambilan dokumen : Internet

A self-affine mapping system instead of the energy minimization procedure is used to approach and fit the roughly drawn

line to the object contour. The self-affine map’s parameters are detected by analyzing the block wise self-similarity of a

gray-scale image using an algorithm in fractal encoding techniques. The edges are attracting mapping points in self-affine

mapping is utilized in the proposed method. The proposed method accurately produces smooth curves sharp corners and to

extract both distinct edges and blurred edges. The large gaps between the hand-draw line and the contour can be fitted well

by our proposed method and algorithms. In this method block size is progressively decreased. These procedures reduce the

time required for drawing contours by hands. As a result, highly accurate contours were extracted in our proposed method.

Deskripsi Alternatif :

A self-affine mapping system instead of the energy minimization procedure is used to approach and fit the roughly drawn

line to the object contour. The self-affine map’s parameters are detected by analyzing the block wise self-similarity of a

gray-scale image using an algorithm in fractal encoding techniques. The edges are attracting mapping points in self-affine

mapping is utilized in the proposed method. The proposed method accurately produces smooth curves sharp corners and to

extract both distinct edges and blurred edges. The large gaps between the hand-draw line and the contour can be fitted well

by our proposed method and algorithms. In this method block size is progressively decreased. These procedures reduce the

time required for drawing contours by hands. As a result, highly accurate contours were extracted in our proposed method.

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