Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Jul 7, 2026

TACI: An ImageJ Plugin for 3D Calcium Imaging Analysis

TACI: An ImageJ Plugin for 3D Calcium Imaging Analysis

Published on: December 16, 2022

Image analysis by Tchebichef moments.

R Mukundan¹, S H Ong, P A Lee

¹Multimedia Univ., Melaka, Malaysia.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|February 8, 2008

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Identifying eating disorders at the earliest opportunity: Testing the reliability of an online eating disorder screener (IOI-S) in primary care and youth mental health settings.

Early intervention in psychiatry·2023

Same author

Accurate measurement of the through-plane water content of proton-exchange membranes using neutron radiography.

Journal of applied physics·2022

Same author

Study protocol for an open labelled randomised controlled trial of perioperative oral nutrition supplement in breast and colorectal cancer patients undergoing elective surgery.

Trials·2021

Same author

Mutant clones in normal epithelium outcompete and eliminate emerging tumours.

Nature·2021

Same author

Mars Extant Life: What's Next? Conference Report.

Astrobiology·2020

Same author

Probabilistic Estimation of Stream Turbidity and Application under Climate Change Scenarios.

Journal of environmental quality·2018

This study presents discrete Tchebichef moments for image analysis. These novel orthogonal moments offer superior analytical properties for pattern recognition compared to existing methods.

Area of Science:

Computer Vision
Image Processing
Pattern Recognition

Background:

Orthogonal moments are crucial for image analysis and pattern recognition.
Existing methods like Legendre and Zernike moments have limitations in preserving analytical properties and information redundancy.

Purpose of the Study:

Introduce a novel set of orthogonal moment functions based on discrete Tchebichef polynomials.
Demonstrate the advantages of Tchebichef moments over conventional orthogonal moments for image analysis.
Evaluate the computational aspects and feature representation capabilities of Tchebichef moments.

Main Methods:

Developed orthogonal moment functions using discrete Tchebichef polynomials.
Implemented Tchebichef moments without numerical approximation due to orthogonality in the discrete domain.

More Related Videos

Simultaneous Interference Reflection and Total Internal Reflection Fluorescence Microscopy for Imaging Dynamic Microtubules and Associated Proteins

Simultaneous Interference Reflection and Total Internal Reflection Fluorescence Microscopy for Imaging Dynamic Microtubules and Associated Proteins

Published on: May 3, 2022

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

Published on: May 30, 2016

Related Experiment Videos

Last Updated: Jul 7, 2026

TACI: An ImageJ Plugin for 3D Calcium Imaging Analysis

TACI: An ImageJ Plugin for 3D Calcium Imaging Analysis

Published on: December 16, 2022

Simultaneous Interference Reflection and Total Internal Reflection Fluorescence Microscopy for Imaging Dynamic Microtubules and Associated Proteins

Simultaneous Interference Reflection and Total Internal Reflection Fluorescence Microscopy for Imaging Dynamic Microtubules and Associated Proteins

Published on: May 3, 2022

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

Published on: May 30, 2016

Utilized image reconstruction methods to showcase feature representation capabilities.

Main Results:

Tchebichef moments exhibit superior analytical properties, ensuring better information redundancy.
The proposed method avoids numerical approximation, enhancing accuracy.
Demonstrated effective feature representation and image reconstruction capabilities.

Conclusions:

Discrete Tchebichef moments provide an accurate and efficient tool for image analysis.
These moments offer advantages over Legendre and Zernike moments for pattern feature extraction.
The orthogonality in the discrete domain is key to their enhanced performance.