25 September 1998 Flexible receptive field and its application in puny target detection
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Proceedings Volume 3545, International Symposium on Multispectral Image Processing (ISMIP'98); (1998) https://doi.org/10.1117/12.323680
Event: International Symposium on Multispectral Image Processing, 1998, Wuhan, China
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tiejun Huang, Tiejun Huang, Jianguo Liu, Jianguo Liu, } "Flexible receptive field and its application in puny target detection", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323680; https://doi.org/10.1117/12.323680
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