Paper
25 September 1998 Flexible receptive field and its application in puny target detection
Tiejun Huang, Jianguo Liu
Author Affiliations +
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 and 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); https://doi.org/10.1117/12.323680
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Target detection

Detection and tracking algorithms

Fuzzy logic

Convolution

Target recognition

Medical imaging

Image processing

Back to Top