Novel precision target detection with adaptive thresholding for dynamic image segmentation |
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| Authors: | Byung-Gyu Kim Do-Jong Kim Dong-Jo Park |
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| Affiliation: | (1) Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology (KAIST), 373-1 Kusong-dong, Yusong-gu, Taejon 305-701, Republic of Korea; Tel: +82-42-869-3438; Fax: +82-42-869-3410; e-mail: chitos@armi.kaist.ac.kr, djpark@eekaist.kaist.ac.kr , KR |
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| Abstract: | A new adaptive thresholding algorithm concerning extraction of targets from the background in a given image sequence is proposed.
The conventional histogram-based or fixed-value thresholdings are deficient in detecting targets due to the poor contrast
between targets and the background, or to the change of illumination. This research solves the problems mentioned above by
learning the characteristics of the background from the given images and determines the proper thresholds based on this information.
Experiments show that the proposed algorithm is superior to the optimal layering algorithm in target detection and tracking.
Received: 28 December 1999 / Accepted: 8 August 2000 |
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| Keywords: | : Segmentation – Adaptive thresholding – Optimal layering – Sub-optimal threshold – Centroid Estimation |
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