Accession Number : ADA291389

Title :   Distortion-Invariant Optical Pattern Recognition by Correlative Matrix Feature Criterion,

Corporate Author : NATIONAL AIR INTELLIGENCE CENTER WRIGHT-PATTERSON AFB OH

Personal Author(s) : Baotang, Yang ; Zhengping, Lan

PDF Url : ADA291389

Report Date : 29 DEC 1994

Pagination or Media Count : 12

Abstract : In this paper, we used correlative matrix as a feature criterion in K-L transformation for feature compression, and then the synthetic matched filter (SMF) was prepared by means of the synthetic discriminant function (SDF). This method can effectively reduce the size of feature image. By this fiber, the shift, scale and rotation in variant optical pattern recognition was realized with a high signal noise ratio of correlation output. (AN)

Descriptors :   *IMAGE PROCESSING, *PATTERN RECOGNITION, ALGORITHMS, COMPUTERIZED SIMULATION, MATRICES(MATHEMATICS), SIGNAL TO NOISE RATIO, OPTICAL IMAGES, VARIATIONS, TRANSFORMATIONS(MATHEMATICS), CORRELATION, OPTICAL ANALYSIS, COMPUTER GRAPHICS, TRANSLATIONS, DATA COMPRESSION, MATCHED FILTERS, DISTORTION, CHINA, DISCRIMINATE ANALYSIS, INFORMATION PROCESSING, CHINESE LANGUAGE, HOLOGRAMS.

Subject Categories : Cybernetics
      Computer Programming and Software
      Optics

Distribution Statement : APPROVED FOR PUBLIC RELEASE