Open AccessCENTRAL AND LOGARITHMIC CENTRAL IMAGE CHORD TRANSFORMATIONS FOR INVARIANT OBJECT RECOGNITION
Author(s) -
Veaceslav Perju,
Vladislav Cojuhari
Publication year - 2021
Publication title -
journal of engineering science
Language(s) - English
Resource type - Journals
eISSN - 2587-3482
pISSN - 2587-3474
DOI - 10.52326/jes.utm.2021.28(1).03
Subject(s) - chord (peer to peer) , invariant (physics) , logarithm , computer vision , artificial intelligence , halftone , cognitive neuroscience of visual object recognition , computer science , rotation (mathematics) , translation (biology) , transformation (genetics) , scaling , mathematics , object (grammar) , image (mathematics) , geometry , mathematical analysis , distributed computing , biochemistry , chemistry , messenger rna , mathematical physics , gene
Pattern descriptors invariant to rotation, scaling, and translation represents an important direction in the elaboration of the real time object recognition systems. In this article, the new kinds of object descriptors based on chord transformation are presented. There are described new methods of image presentation - Central and Logarithmic Central Image Chord Transformations (CICT and LCICT). It is shown that the CICToperation makes it possible to achieve invariance to object rotation. In the case of implementation of the LCICT transformation, invariance to changes in the rotation and scale of the object is achieved. The possibilities of implementing the CICTand LCICToperations are discussed. The algorithms of these operations for contour images are presented. The possibilities of integrated implementation of CICT and LCICT operations are considered. A generalized CICT operation for a full (halftone) image is defined. The structures of the coherent optical processors that implement operations of basic and integral image chord transformations are presented.