Object Enhancement, Noise Reduction, Conversion and Collection of Spatiotemporal Image Data

Author

Michael Izaguirre Jr., The University of Texas Rio Grande Valley

Date of Award

5-2019

Document Type

Thesis

Degree Name

Master of Science in Interdisciplinary Studies (MSIS)

Department

Physics

First Advisor

Dr. Natalia V. Guevara

Second Advisor

Dr. Juan Guevara Jr.

Third Advisor

Dr. Edgar Corpuz

Abstract

In this report, a variety of cellular dynamics are enhanced and analyzed utilizing various algorithms and filter for contrast enhancement. This report will also illustrate the underlying complexities of processing compressed data received from certain type of sensors, their default applications, various methods in converting compressed data to compatible universal uncompressed formats allowed in scientific applications, various methods of image and video capture, guidelines in ethical image manipulation, various methods of frame extraction, and analyzing/processing video images. These methods and processes purposely utilize freeware and public domain software to lower the cost of reproducibility for all.

Comments

Copyright 2019 Michael Izaguirre. All Rights Reserved.

https://go.openathens.net/redirector/utrgv.edu?url=https://www.proquest.com/dissertations-theses/object-enhancement-noise-reduction-conversion/docview/2245841685/se-2?accountid=7119

Recommended Citation

Izaguirre, Michael Jr., "Object Enhancement, Noise Reduction, Conversion and Collection of Spatiotemporal Image Data" (2019). Theses and Dissertations. 482.
https://scholarworks.utrgv.edu/etd/482