The Splicing Method of Images of Rare Point´s Feature Based on Artificial Fish-Swarm Algorithm

Author

Song, Jie ; Sun, Rong-Yan ; Zhang, Yong-Jie ; Li, Na-Na ; Gu, Jun-hua

Author_Institution

Sch. of Comput. Sci. & Eng., Hebei Univ. of Technol., Tianjin

fYear

2008

fDate

20-22 Dec. 2008

Firstpage

783

Lastpage

787

Abstract

This paper presents a splicing method which is based on the edge detection of SUSAN and artificial fish-swarm algorithm, which solved splicing method about the pictures of seldom characters. Firstly, the images are detected edge by SUSAN algorithm. Secondly, it is removed noise according to the morphological method, and it is blocked by edge. Lastly it obtains the extreme points by artificial fish-swarm algorithm, and realizes stitching about pavement images of scarce characters. It has tested by undamaged pavement images, and the result is ideal.

Keywords

artificial intelligence; edge detection; image denoising; SUSAN algorithm; artificial fish-swarm algorithm; edge detection; image splicing method; morphological method; noise removal; rare point feature; scarce characters; undamaged pavement images; Capacitive sensors; Computer science; Design methodology; Image edge detection; Petroleum; Road transportation; Shape; Splicing; Statistics; Testing; Artificial fish-swarm algorithm; SUSAN; morphological; stitch; undamaged pavement image;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Theory and Engineering, 2008. ICACTE '08. International Conference on

Conference_Location

Phuket

Print_ISBN

978-0-7695-3489-3

Type

conf

DOI

10.1109/ICACTE.2008.84

Filename

4737064