Object isolation using a pulse-coupled neural network

Jason M. Kinser

doi:10.1117/12.258119

11 November 1996 Object isolation using a pulse-coupled neural network

Jason M. Kinser

Proceedings Volume 2824, Adaptive Computing: Mathematical and Physical Methods for Complex Environments; (1996) https://doi.org/10.1117/12.258119
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

Object isolation in an image is an iterative process in which the target gradually fade. The intent of this design is to be more robust to noise, object alterations, and clutter than traditional filters. This iterative process can be performed by a non-linear shunting pulse-coupled neural network (PCNN). The input scene is modified by the filtered pulse response of the PCNN. Within several iterations the target is enhanced and the non-targets are degraded to such a degree that the target is completely dominant in the input. The segmented pulse response of the PCNN allows for a unique approach to this system.

Citation Download Citation

Jason M. Kinser "Object isolation using a pulse-coupled neural network", Proc. SPIE 2824, Adaptive Computing: Mathematical and Physical Methods for Complex Environments, (11 November 1996); https://doi.org/10.1117/12.258119

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