Pseudo-invariant image transformations on a hexagonal lattice
Author(s)
Sheridan, Phillip E.
Griffith University Author(s)
Year published
2000
Metadata
Show full item recordAbstract
A novel data structure for a machine vision system is presented in this paper. The approach is inspired from anatomical considerations of the primate's vision system. The geometrical arrangements of cones (photo receptors) on a primate's retina can be described in terms of a hexagonal lattice. The importance of this lattice is that it possesses special computational features pertinent to the vision process.
Pseudo- (quasi-) invariant transformations are relevant to both biological and machine vision systems. They provide a means by which an image can be represented independent of a coordinate system. This facilitates the ...
View more >A novel data structure for a machine vision system is presented in this paper. The approach is inspired from anatomical considerations of the primate's vision system. The geometrical arrangements of cones (photo receptors) on a primate's retina can be described in terms of a hexagonal lattice. The importance of this lattice is that it possesses special computational features pertinent to the vision process. Pseudo- (quasi-) invariant transformations are relevant to both biological and machine vision systems. They provide a means by which an image can be represented independent of a coordinate system. This facilitates the object recognition process. This paper describes a method of producing pseudo-invariant image transformations on a hexagonal lattice. A method of implementing the invariant transformations on a computer is provided. Application areas where the transformations can be employed are discussed.
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View more >A novel data structure for a machine vision system is presented in this paper. The approach is inspired from anatomical considerations of the primate's vision system. The geometrical arrangements of cones (photo receptors) on a primate's retina can be described in terms of a hexagonal lattice. The importance of this lattice is that it possesses special computational features pertinent to the vision process. Pseudo- (quasi-) invariant transformations are relevant to both biological and machine vision systems. They provide a means by which an image can be represented independent of a coordinate system. This facilitates the object recognition process. This paper describes a method of producing pseudo-invariant image transformations on a hexagonal lattice. A method of implementing the invariant transformations on a computer is provided. Application areas where the transformations can be employed are discussed.
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Journal Title
Image and Vision computing
Volume
18
Subject
Artificial Intelligence and Image Processing
Electrical and Electronic Engineering