Infrared small target enhancement by using sequential top-hat filters

Jianjun Zhou; Haoyin Lv; Fugen Zhou

doi:10.1117/12.2072159

24 November 2014 Infrared small target enhancement by using sequential top-hat filters

Jianjun Zhou, Haoyin Lv, Fugen Zhou

Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 93011L (2014) https://doi.org/10.1117/12.2072159
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

Abstract

Generally in the infrared images, the targets have low contrast with the background, which makes the detection of the small targets difficult. To improve the detectability of the infrared small targets, this paper presents a novel algorithm for infrared small target enhancement by using sequential top-hat filters. Moreover, the proposed algorithm has been compared with several existing algorithms. The experimental results indicate that sequential top-hat filters could well enhance the infrared small targets and effectively suppress the background clutters.

Citation Download Citation

Jianjun Zhou, Haoyin Lv, and Fugen Zhou "Infrared small target enhancement by using sequential top-hat filters", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93011L (24 November 2014); https://doi.org/10.1117/12.2072159

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available