Application in Target Recognition Based on Gray System Theory and Mathematical Morphology Edge Detection

Author

Li Hai-Yu ; Jia Xin-yu ; Liu Ying ; Tan Hai-feng ; Zheng Nan

Author_Institution

Dept. of Basic, Aviation Univ. of Air force, Changchun, China

Volume

1

fYear

2012

fDate

23-25 March 2012

Firstpage

611

Lastpage

614

Abstract

This paper explores the gray system theory and mathematical morphology in image edge detection and target recognition applications. Through experiments that ingenious combination of the gray system theory and mathematical morphology, the use of gray system theory to extract the edge of the image for the conditions, the multi-level geodetic expansion to expand to fill the target area, through which the algorithm can improve the detection of image accuracy, enhanced noise immunity, effectively identify the target.

Keywords

edge detection; feature extraction; grey systems; mathematical morphology; object detection; gray system theory; image detection accuracy improvement; image edge detection; image edge extraction; image noise immunity; mathematical morphology edge detection; multilevel geodetic expansion; target identification; target recognition; Algorithm design and analysis; Correlation; Gray-scale; Image edge detection; Morphology; Target recognition; Absolute correlation; edge detection; geodesic expansion; gray theory; mathematical morphology; target identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4673-0689-8

Type

conf

DOI

10.1109/ICCSEE.2012.166

Filename

6187920