Open AccessMoment Invariants Technique for Image Analysis and Its Applications: A Review
Author(s) -
Mohd Wafi Nasrudin,
Nizam Shahrul Yaakob,
Nazren Amir Abdul Rahim,
Muhammad Munsif Ahmad,
Norazan Mohamed Ramli,
Mohd Shaiful Aziz Rashid
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1962/1/012028
Subject(s) - invariant (physics) , moment (physics) , image moment , feature extraction , computer science , scaling , artificial intelligence , pattern recognition (psychology) , rotation (mathematics) , computer vision , mathematics , image processing , algorithm , image (mathematics) , geometry , physics , classical mechanics , mathematical physics
The Moment invariant is a feature extraction technique used to extract the global features for shape recognition and identification analysis. There are many types of Moment Invariants technique since it was introduced. To date, many applications still use the Moment Invariant technique as feature extraction technique to extract the features of any images. The reason why the Moment Invariants still valid till today because its capabilities to analyze the image due to its invariant features of an image based on rotation, translation and scaling factors. Therefore, this review paper focuses to elaborate the history of Moment invariants and its applications in related fields. The summary about the advantages and disadvantages of Moment Invariants techniques will be described at the end of this review paper.