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Description and Deliverable(s) The coursework (details below) requires you to develop a software solution, using the Matlab Image Processing Toolbox, to a real image processing problem and produce a written report describing and critically evaluating your solution. The deliverables required are:
1.Matlab code: .m file
2.Written report: 2000 words max, PDF format

Detect and Segment Leaf
Segmentation is a common approach often used in image processing to extract qualitative data as well as to reduce the complexity of further processing or analysis of a given image. Prior to segmentation, a pre- processing pipeline usually takes place to improve the quality of the input image.

1.Design and implement a Matlab program capable of detecting and segmenting leaves. Your program must take in the given input image and produce the desired output image. A sample of the input and output image is shown below.


Input Image Output Image

To be clear: the output image should only contain a black background with the leaves colour coded. The colours for each leaf must be distinct and MUST be randomly generated by your program at every instance.

Note: the aim here is to produce one, single Matlab program. This should be able to process each of the three images without any changes being made to the software or any hard-coded parameters it may use. You should also seek a solution that is as automatic as possible, i.e., try to minimise the number of user- supplied parameters. You are ONLY ALLOWED to use ONE segmentation technique, so, choose wisely!

2.Write a report (max 2000 words) which:
Describes the pre-processing technique(s) and segmentation method employed
 

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