UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 9 Issue 4
April-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2204008


Registration ID:
321985

Page Number

a47-a56

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Title

LINEAR ALGEBRA IN IMAGE PROCESSING

Abstract

Linear algebra is a branch of mathematics that is fundamental to computer plates. It studies vectors, direct changeovers, and matrices. Linear algebra is used in nearly all cipher-ferocious tasks. It can efficiently be used to break any direct ornon-direct set of equations. Among the most common tools in electrical engineering and computer wisdom are thickish grids of numbers known as matrices. The numbers in a matrix can represent data, and they can also represent fine equations. Similar to arrays in programming, the size of a matrix is defined by the number of rows and columns it has. The basics of matrix computation and show you how to combine changeovers using matrices. Matrices are used for nearly all computer plates calculations, including camera manipulation and the projection of your 3D scene onto a 2D viewing window. When a transformation takes place on a 2D airplane, it's called 2D transformation. Changeovers play an important part in computer plates to budge the plates on the screen and change their size or exposure. The generalities of Linear Algebra are vital for understanding the proposition behind Machine Knowledge, especially for Deep Knowledge. They give you better dubitation for how algorithms really work under the hood, which enables you to make better opinions. Some of the computer plates operations that can be easily done by using the direct algebra are Rotation, turning, gauging, Bezier angles, reflections, fleck and cross products, projections, and vector fields. Other more complex operations like adulterants bear the combination of direct algebra with other fine tools.

Key Words

Linear algebra, Image processing, matrix addition, multiplication, subtraction, rotation.

Cite This Article

"LINEAR ALGEBRA IN IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.a47-a56, April-2022, Available :http://www.jetir.org/papers/JETIR2204008.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"LINEAR ALGEBRA IN IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppa47-a56, April-2022, Available at : http://www.jetir.org/papers/JETIR2204008.pdf

Publication Details

Published Paper ID: JETIR2204008
Registration ID: 321985
Published In: Volume 9 | Issue 4 | Year April-2022
DOI (Digital Object Identifier):
Page No: a47-a56
Country: , , .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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