Faint targets detection based on gray morphological filtering and neighborhood entropy method

gu jing-liang; zhang wei; wan min

Volume 16 Issue 12

Dec. 2004

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Article Navigation > High Power Laser and Particle Beams > 2004 > 16(12): 0-

yi heng-yu, peng yong, hu xiao-yang, et al. Precise measurement system for reflectivity scanning of large aperture components[J]. High Power Laser and Particle Beams, 2005, 17.

Citation:

gu jing-liang, zhang wei, wan min. Faint targets detection based on gray morphological filtering and neighborhood entropy method[J]. High Power Laser and Particle Beams, 2004, 16.

yi heng-yu, peng yong, hu xiao-yang, et al. Precise measurement system for reflectivity scanning of large aperture components[J]. High Power Laser and Particle Beams, 2005, 17.

Citation:

gu jing-liang, zhang wei, wan min. Faint targets detection based on gray morphological filtering and neighborhood entropy method[J]. High Power Laser and Particle Beams, 2004, 16.

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Faint targets detection based on gray morphological filtering and neighborhood entropy method

1.
Institute of Applied Electronics,CAEP,P.O.Box 919 1012,Mianyang 621900,China

Publish Date: 2004-12-15

Abstract

Abstract

A new method of faint-target detection is put forward. To improve the practicality of the method, especially it is used to deal with those images that involves the complex background and a lot of noise, the method of neighborhood entropy was brought forward. Furthermore, to increase the validity of it, this method was combined with gray morphological filtering. First ,the image is processed with morphological filtering. Second, the neigborhood entropy is calculated. And then, the target is detected according to the maximum value and minimum value of entropy. The experiment results indicated the new method can detect small target stably and guickly.
- targets detection,
- gray morphology,
- neighborhood entropy,
- fainttarget

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