An algorithm of extracting infrared image edge based on lateral inhibition network and wavelet phase filtration

Author

Gao, Kanglin ; Dong, Mei ; Li, Desheng ; Cheng, Wei

Author_Institution

Sch. of Comput.&Inf. Eng., Shandong Univ. of Finance, Jinan, China

fYear

2009

fDate

16-19 Aug. 2009

Abstract

Infrared image edge is very important in military object detection treatment. Based on the traditional edge detection algorithm the present paper adopts wavelet phase conversion filtration on wavelet transformation and lateral inhibition network to detect infrared image in accordance with infrared image features. The simulation test has proved that it can effectively solve the contradition between precision and strong noise-eliminating ability in the tradtional edge detection and better extract the infrared object image edge.

Keywords

edge detection; feature extraction; wavelet transforms; edge detection algorithm; infrared image edge extraction; lateral inhibition network; military object detection treatment; wavelet phase conversion filtration; wavelet transformation; Filtration; Image converters; Image edge detection; Infrared detectors; Infrared heating; Infrared imaging; Military computing; Phase detection; Wavelet analysis; Wavelet domain; Edge Extraction; Lateral Inhibition; Wavelet Phase Transformation; Wavelet Transformation Maximum;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-3863-1

Electronic_ISBN

978-1-4244-3864-8

Type

conf

DOI

10.1109/ICEMI.2009.5274051

Filename

5274051