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Byron Barillas

Edge detection techniques based on quantitative methods

by Byron Barillas, last login 1135 days ago

Edge detection techniques based on quantitative methods  This assignment involved manipulating image data in order to enhance the visual information in a magnetic resonance image. Techniques used included Edge detection, Binary masks, John Canny method, Mexican hat methods. The project involved learning new techniques (edge detection) and improvising on others where the researched techniques do not solve the problem at hand in an elegant way (region growing). I worked alone in the assignment for a group of 2. matlab |  image processing |  edge detection |  region growing |  math |  mathematics
Description
This assignment involved manipulating image data in order to enhance the visual information in a magnetic resonance image. Techniques used included Edge detection, Binary masks, John Canny method, Mexican hat methods. The project involved learning new techniques (edge detection) and improvising on others where the researched techniques do not solve the problem at hand in an elegant way (region growing). I worked alone in the assignment for a group of 2.
Tags
matlab image processing edge detection region growing math mathematics
176985602337900
Last Item
AU
Byron Barillas

Byron Barillas

Brisbane, QLD
0.0
New on Elance
11/hr
rate
About Byron Barillas

My main interests and skills in mathematics lie in Computational Mathematics (Completed all undergraduate units) and Mathematical Modelling. I can program in Matlab and Python to solve problems and for advanced image processing.
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Byron Barillas