Patent ID: 6837617
Filing Date: 2005-01-04
Classification: G01J

Abstract:
1. A method for detection and recognition of an object that includes a plurality of sub-objects, the sub-object having a plurality of unique physical parameters; said object located in a selected region, and said sub-objects having a background, the method comprising the steps of: (a) acquiring electromagnetic radiation data of electromagnetic radiation emitted from the selected region in at least two spectral bands by measuring it in at least one time, each time in said spectral bands, thus obtaining at least two readings; (b) recording the acquired electromagnetic radiation data by means of a suitable radiation data recording means; (c) storing the recorded electromagnetic radiation data in a suitable electromagnetic radiation data storage means; (d) deriving descriptive maps constituted by pixels of the selected region from the electromagnetic radiation data stored in said suitable electromagnetic radiation data storage means; and (e) classifying the pixels of said descriptive maps of said selected region by pattern recognition processor means, the classifying by sorting the pixels into classes comprising the steps of describing statistical distribution of the pixels by using a poly-Gauss expansion; and calculating probabilities of association of the pixels with the classes by using Bayes' formula, whereby the desired object detection and recognition are achieved.