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Image classification by the Kittler‐Young transform using A joint transform correlator
Author(s) -
Li John X.,
Yu Francis T. S.,
Gregory Don A.
Publication year - 1991
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.4650040511
Subject(s) - joint (building) , artificial intelligence , bandwidth (computing) , pattern recognition (psychology) , computer science , computer vision , engineering , telecommunications , architectural engineering
This article will discuss a two‐category image classification which has been performed on a joint transform correlator (JTC) by using the Kittler‐Young transform. The property of optimally utilizing the class means and variances in the Kittler‐Young transform has enabled a high space‐bandwidth‐product operation. The digitizing effect of the liquid crystal television has been utilized to increase the correlation peaks.

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