Dissertation/Thesis Abstract

Computer Vision and Image Processing: Development and Optimization of MATLAB CVIP Toolbox
by Mishra, Deependra, M.S., Southern Illinois University at Edwardsville, 2018, 92; 10807716
Abstract (Summary)

CVIPtools is a software package for the exploration of computer vision and image processing developed in the Computer Vision and Image Processing Laboratory at Southern Illinois University Edwardsville. Initially, CVIPtools was available to users with a graphical user interface and the CVIPtools C libraries. Here, the CVIPtools C functions are ported to MATLAB, using the MEX interface and compared to implementing the functions directly with MATLAB M-files.

The main purpose of CVIPtools is to offer the students, faculty, researchers, and any user a free and user-friendly tool to explore image processing techniques. With the addition of MATLAB CVIP toolbox, now the users have more freedom to choose an environment to work on image processing problems. Many functions have been implemented and are updated on a regular basis; the library has reached a level of sophistication that makes it suitable for both educational and research purposes.

The main objective of this research is to make MATLAB CVIP toolbox more extensive by adding more CVIPtools library function. And the other goal is to perform the computation time comparison between successfully ported function and MATLAB script to optimize the MATLAB CVIP toolbox for better performance and stability.

Indexing (document details)
Advisor: Umbaugh, Scott E.
Commitee: Engel, George, LeAnder, Robert
School: Southern Illinois University at Edwardsville
Department: Electrical and Computer Engineering
School Location: United States -- Illinois
Source: MAI 57/06M(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Electrical engineering
Keywords: Computer vision, Cviptools, Image processing, Matlab cvip toolbox, Matlab toolbox, Mex interface
Publication Number: 10807716
ISBN: 9780438000742
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