Open AccessObject Identification by Signal Gain and Correlation
Author(s) -
Ching-Liang Su
Publication year - 2022
Publication title -
international journal of mathematical models and methods in applied sciences
Language(s) - English
Resource type - Journals
ISSN - 1998-0140
DOI - 10.46300/9101.2022.16.3
Subject(s) - pixel , artificial intelligence , invariant (physics) , computer vision , pattern recognition (psychology) , rotation (mathematics) , mathematics , salient , correlation , computer science , geometry , mathematical physics
In this study, “ring rotation invariant transform” techniques are used to add more salient feature to the original images. The “ring rotation invariant transform” can solve image rotation problem, which transfers a ring signal to several signal vectors in the complex domain, whereby to generate invariant magnitude. Matrix correlation is employed to combine these magnitudes to generate the various discriminators, by which to identify objects. For managing image-shifting problem, one pixel in sample image is compared with surrounding pixels of unknown image. The comparison approaching in this study is by the basis of pixel-to-pixel-comparisons.