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Proceedings Paper

High-accuracy ellipse feature extraction algorithm based on line diffusion function model
Author(s): Shunyi Zheng; Cailin Li
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Paper Abstract

Ellipse feature is widely accepted as one of the most fundamental features and its extraction in image has very important significance in many fields. We addressed the problem of extraction of ellipse with high accuracy in this paper. An ellipse extraction algorithm based on line diffusion function model has been proposed using local gray value variation to precisely identify edge location. This algorithm can automatically extract ellipse and carry through high-accurate ellipse localization. This paper firstly analyzed the primary principle of line diffusion function mode, then described the implementation of high-accurate ellipse feature extraction algorithm based on line diffusion function model. During the process, the mathematical model is provided and high-accurate ellipse feature extraction algorithm has been developed. Finally, the proposed approach is tested with real imagery and experimental results are presented to demonstrate the efficiency and accuracy of the proposed algorithm.

Paper Details

Date Published: 7 November 2008
PDF: 8 pages
Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 71470U (7 November 2008); doi: 10.1117/12.813231
Show Author Affiliations
Shunyi Zheng, Wuhan Univ. (China)
Cailin Li, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 7147:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang, Editor(s)

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