A Fast Algorithm for Image Geometric Feature Parameters Extraction

Author

Yang, Cheng ; Lu, Rong ; Chen, Niannian

Author_Institution

Dept. of Comput. Sci. & Technol., Southwest Univ. of Sci. & Technol., Mianyang, China

fYear

2012

fDate

21-23 May 2012

Firstpage

1

Lastpage

4

Abstract

How to extract the features quickly and correctly is the essential precondition for image identification and classification. As there existing large computation problems in the traditional feature extraction algorithms, this paper proposes a faster algorithm. Firstly, the image connected region is encoded by using the Vertex Chain Code to map as a closed area. Then a unified computational framework is developed to combine the Vertex Chain Code and Discrete Green, turning surface integral into line integral. Experimental results show that this algorithm is fast and effective, and can be used for special area.

Keywords

feature extraction; geometrical optics; image classification; image coding; closed area; discrete Green integral; feature extraction algorithms; image classification; image connected region; image encoding; image geometric feature parameter extraction; image identification; line integral; turning surface integral; unified computational framework; vertex chain code; Algorithm design and analysis; Classification algorithms; Educational institutions; Feature extraction; Gesture recognition; Optical devices; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Photonics and Optoelectronics (SOPO), 2012 Symposium on

Conference_Location

Shanghai

ISSN

2156-8464

Print_ISBN

978-1-4577-0909-8

Type

conf

DOI

10.1109/SOPO.2012.6270950

Filename

6270950