NDLI: Research on threshold segmentation algorithm and its application on infrared small target detection algorithm

Content Provider	IEEE Xplore Digital Library
Author	Zhang, Lan-yong Du, Yi-xuan Li, Bing
Copyright Year	2014
Description	Author affiliation: College of Automation, Harbin Engineering University, China (Zhang, Lan-yong; Du, Yi-xuan; Li, Bing)
Abstract	For infrared dim target detection, proposed an improved Otsu algorithm, advantages in the search for the optimal solution using genetic algorithms, use class variance between the image pixels as a judgment function, realized the improved algorithm, reached the class variance detection threshold segmentation algorithm improvements. Infrared image processing by real infrared video sampling, the proposed algorithm with traditional the Otsu algorithm simulation comparison, experimental results show that the proposed algorithm guaranteed under the premise of the detection accuracy of the segmentation algorithm, to the improvement of the performance of real-time processing of traditional algorithms, excellent algorithm program with a value of engineering practice.
Starting Page	678
Ending Page	682
File Size	731209
Page Count	5
File Format	PDF
ISBN	9781479921881
ISSN	21645221
e-ISBN	9781479921867
DOI	10.1109/ICOSP.2014.7015089
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Object detection Genetic algorithms Aircraft Infrared heating Aircraft propulsion Rockets Infrared image Target detection Otsu Algorithm Genetic Algorithms
Content Type	Text
Resource Type	Article

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