NDLI: A method of recursive target extraction based on multi-level features

Content Provider	IEEE Xplore Digital Library
Author	Dong, H.Y. Zhao, P. Wang, X.W.
Copyright Year	2014
Description	Author affiliation: Sch. of Mech. Eng., Shenyang Ligong Univ., Shenyang, China (Wang, X.W.) \|\| Sch. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China (Dong, H.Y.; Zhao, P.)
Abstract	Due to the complexity and asymmetrical illumination, some images are difficult to be effectively segmented by some routine method. In this paper, an algorithm based on multi-level features is designed and proposed, and which can be used for target extraction from the images with more noises, interference, uneven illumination and changeable scene. The algorithm first transfers the original image into a gray one. And then features of every level the target are extracted inheritably from the high or low level feature message. Furthermore, it also can track back to the original image or the features of low level, and the extraction goes on by recursion. So the target can be separated from the background. The algorithm experiment results indicates the target can be correctly extracted with high-efficiency and great precision, and with different sizes of the target and SNR also.
Starting Page	690
Ending Page	693
File Size	217818
Page Count	4
File Format	PDF
e-ISBN	9781479948086
DOI	10.1109/ICIST.2014.6920571
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Dilate with conditions Image segmentation Recursive extraction Image edge detection Surface morphology Morphology Multi-level features Feature extraction Extraction of target Data mining
Content Type	Text
Resource Type	Article

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