Browse Prior Art Database

Adaptive Threshold Technique for Local Clutter Suppression

IP.com Disclosure Number: IPCOM000052386D
Original Publication Date: 1981-Jun-01
Included in the Prior Art Database: 2005-Feb-11
Document File: 2 page(s) / 46K

Publishing Venue

IBM

Related People

Winter, EM: AUTHOR

Abstract

An adaptive threshold technique for local clutter suppression in an optical scanning system is disclosed which predicts thresholds to suppress clutter resulting from spatial variations in a background by taking a spatial Laplacian on the image and using that Laplacian to calculate the thresholds.

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Adaptive Threshold Technique for Local Clutter Suppression

An adaptive threshold technique for local clutter suppression in an optical scanning system is disclosed which predicts thresholds to suppress clutter resulting from spatial variations in a background by taking a spatial Laplacian on the image and using that Laplacian to calculate the thresholds.

Electro-optical sensors viewing a scene are limited by three principal factors: resolution, noise and clutter. Resolution and noise are more easily analyzed since they are sensor dependent. Clutter is scene dependent and can be described as unwanted or background-generated signals. Clutter can result in signal amplitudes which are comparable to the amplitude of signals from objects of interest in the scene. To reduce clutter by simply raising the threshold will result in the loss of signals from objects of interest. Clutter also varies spatially in a scene. For example, a satellite-borne sensor viewing a coastline will see the ocean region with minimal clutter and the coastal mountain region with considerable clutter. Thus, the optimum detection of objects of interest in a cluttered environment requires that a threshold be selectively applied over the scene.

A technique is disclosed herein for spatially varying the adaptive threshold of a scene by exploiting locally high values of the second spatial derivative as a clutter characteristic to determine thresholds.

A spatial Laplacian is taken on the image and used...