Course Project - Visual Computing

<Project1: Autonomous Snake Algorithm for Eye Images>

1. Problem Statement

Problem Statement: You are given a set of Eye images taken during a specific surgery. we want to isolate the eye-lids and retina areas so that analysis of blood vessels could be done easily. Design an autonomous Snake algorithm to enable this segmentation for a number of images. The underlying steps are shown below:

(a)
(c)

(a) Given Original eye image, (b) resulting contours that you need to develop the algorithm for, (c) masking out the contoured areas to segment the ROI.

2. Design Details
   1. Algorithm Logic

<ToDo:

• Using a flow chart or pseudocodes, outline your logic. This should include the snake algorithm itself as well as how will you make it autonomous for that class of eye-images.
• List the different ready-made functions/libraries that you will use for implementation of this algorithm. Please put a reference to where you found the function/libraries.
• Your justification for selecting this particular approach (above).
• Discuss any novel aspects of your design (if applicable) that made the segmentation automatic.

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1. 2. Software

<ToDo:

• Put your full MATLAB code in this section.

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3. Implementation and Testing

<ToDo:

• Show the results of applying your algorithm on 5 of the given images.
• Results of those tests using before and after images.
• Time Needed to calculate the segments will be an important parameter to quantify the performance.
• Discuss these results and explain whether the algorithm achieved the goals and to what extent.

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References

< Include the list of references relevant to your work using IEEE citation style. Use research papers and good quality references (such as journal and conference papers from ACM, IEEE and Springer). Do not just use web links. Embed citations of the references in the text of your document.

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