Detecting Puny Target in Infrared Images Based on Edge Characteristics

Author

Lu, Jun-Wei ; Wang, Chen-gang ; Ren, Jian-cun ; Yuan, Xiao-Hu ; Lu, Yi

Author_Institution

Dept. of Control Eng., Naval Aeronaut. Eng. Inst., Yantai

Volume

2

fYear

2006

fDate

16-18 Oct. 2006

Firstpage

283

Lastpage

288

Abstract

Detecting puny target on a sea is very important to missile guidance of anti-warship. An algorithm based on edge characteristics is suggested in this paper to detect the puny target on a sea. Based on the maximum length and on the equal diameter of objects, a rule to distinguish the sky-sea line from the other objects is established. A criterion to recognize the puny target is set up according to two features of objects: the distance between an object and the sky-sea line; the gray-level mean of an object. This algorithm was tested with a set of 700 images, it was verified that this algorithm in theory is valid

Keywords

edge detection; image colour analysis; infrared imaging; military computing; missile guidance; antiwarship; edge characteristics; gray-level mean; infrared imaging; missile guidance; puny target detection; Aerospace engineering; Filters; Image analysis; Image edge detection; Infrared detectors; Infrared imaging; Marine vehicles; Missiles; Pixel; Target recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on

Conference_Location

Jinan

Print_ISBN

0-7695-2528-8

Type

conf

DOI

10.1109/ISDA.2006.253847

Filename

4021674