Pattern similarities of vector matrices

A concept of vector matrix or matrix of vector is introduced. It is a well-known matrix where the elements are vectors. An example of vector matrix is a digital image represented in a matrix Am×n. The elements of A are vectors in R3 represent color in red, green, blue, and m × n is the number of pix...

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Bibliographic Details
Published in:Journal of physics. Conference series 2019-10, Vol.1341 (6), p.62011
Main Authors: Muhtar, N, Cahyono, E, Arman, Ransi, N, Rofianto, D
Format: Article
Language:English
Subjects:
Digital imaging
Mathematical analysis
Object recognition
Physics
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Summary:A concept of vector matrix or matrix of vector is introduced. It is a well-known matrix where the elements are vectors. An example of vector matrix is a digital image represented in a matrix Am×n. The elements of A are vectors in R3 represent color in red, green, blue, and m × n is the number of pixels. Similarity of two matrices is defined by the similarity of each corresponding elements. Such definition is very strict, two similar matrices must have the same vector for each corresponding elements. Applying for digital images, two similar matrices are actually the same image. Less similarity concept is introduced, namely pattern similarity. Pattern similarity is a generalization of strict similarity by applying a pattern function. An application of pattern similarity is for object recognition.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1341/6/062011