Mathematics
OSU-OARDC
Tomato Analyzer
Student Researchers: Itai Njanji, Atticus Jack, Joshua Thomas
Faculty Advisor: Jaymie Strecker (Computer Science)
The purpose of our project was to improve Tomato Analyzer, an application that measures shape and color attributes of fruits. Tomato Analyzer is part of the Tomato Fruit Morphology Project, which seeks to understand how genes and molecular networks control fruit morphology. We added several features to Tomato Analyzer. These features include an area that allows the user to add "notes" to the images being analyzed and updates to the Color Analysis feature.
Color Analysis was streamlined and given an expanded interface to make the feature more user-friendly. To accomplish this the user now must only deal with an in program popup window to calibrate the color; this process is much simpler then the previous method that involved exporting values to Excel and running a regression algorithm on them. The program was made more stable and was made to run faster due to the bug fixes made by the team as well. The team also worked on enhancing the boundary detection of the program to allow for more accurate measurements.