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Proceedings Paper

Flexible receptive field and its application in puny target detection
Author(s): Tiejun Huang; Jianguo Liu
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Paper Abstract

Puny target detection is a common problem for image recognition. The main difficulty origins from that targets are putty and variable. This paper advances a detection algorithm called Flexible Receptive Field (FRF) that gives a new way to detect puny target. FRF is like as a `pupil' which can adjust itself size to acquire the maximum excitement intensity. Scanning a pending image with FRF, when a target falls into FRF, the excitement intensity will differ from that when there is not target. To reduce the overmuch computation due to flexibility, a fast algorithm with computation complexity O(n2) is advanced (similar to a normal filter operator). Experiments proved that FRF is a simple, fast and efficient method for puny target detection.

Paper Details

Date Published: 25 September 1998
PDF: 3 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323680
Show Author Affiliations
Tiejun Huang, Huazhong Univ. of Science and Technology (China)
Jianguo Liu, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)
Ji Zhou; Anil K. Jain; Tianxu Zhang; Yaoting Zhu; Mingyue Ding; Jianguo Liu, Editor(s)

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