eye-detection
a collaborative project with other Marquette Biocomputing majors to build a eye detection application
EyeDetection
The main subsystem used to parse a .bin file representing a 2-dimensional image, run an edge detection algorithm, run a circle detection algorithm to find the pupil, and return via a .csv file the coordinates of that circle
EdgeDetection
Runs a Sobel Filter on a 2D Image Object and returns a threshold evaluated bit-map
CircleDetection
Runs the Hough transform algorithm on a 2D bit-map of the edges on an image of an eye to detect the pupil
gui
A MATLAB GUIDE create UI to input an image file path, an expected output path of the coordinates, and call the main subsystem. Transforms a jpeg image into a .bin file representing the grayscale pixel values of each pixel.
Test resources
Shared images, files, and more to test our subsystems