Matlab Framework for Image Processing and Feature Extraction Flexible Algorithm Design

Author:

Cazacu RazvanORCID

Abstract

Image processing and the analysis of images in order to extract relevant data is an ever-growing topic of research. Although there are numerous methods readily available, the task of image preprocessing and feature extraction requires developing specific algorithms for specific problems by combining different functions and tweaking their parameters. This paper proposes a framework that allows the flexible construction of image processing algorithms. Its user interface and architecture are designed to ease and speed up the process of algorithm creation and testing as well as serve as an application for the use of these algorithms by end users. The framework was built in Matlab and makes use of its integrated Image Processing toolbox.

Publisher

MDPI AG

Subject

General Medicine

Reference16 articles.

1. MATLAB Image Processing Toolbox (R2019a), Natick, MA, USAhttps://www.mathworks.com/products/image.html

2. Digital Image Processing;Gonzalez,2018

3. Feature Extraction & Image Processing for Computer Vision;Nixon,2020

4. Image Processing: The Fundamentals;Petrou,2010

5. A simple framework (ASF) for behavioral and neuroimaging experiments based on the psychophysics toolbox for MATLAB

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3