Improving the Machine Learning Performance for Image Recognition Using a New Set of Mountain Fourier Moments

Improving the Machine Learning Performance for Image Recognition Using a New Set of Mountain Fourier Moments

The orthogonal moments are giving relevant results of these last years within the framework of object detection, pattern recognition and image reconstruction. This article is based on orthogonal functions called "Orthogonal Mountain functions (OMFs)" and we introduce a new set of moments...

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Bibliographic Details
Main Authors: Yahya Sahmoudi, Omar el Ogri, Jaouad el Mekkaoui, Boujamaa Janati Idrissi, Amal Hjouji
Format: Article
Language:English
Published: Slovenian Society for Stereology and Quantitative Image Analysis 2024-04-01
Series:Image Analysis and Stereology
Subjects:
Multichannel invariant moments
Pattern recognition
Orthogonal Mountain functions
Mountain-Fourier invariant moments.
K-nearest neighbours (KNN)
support vector machine (SVM)
Online Access:https://www.ias-iss.org/ojs/IAS/article/view/3009

Internet

https://www.ias-iss.org/ojs/IAS/article/view/3009

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