In this class project, you will develop a method to find the pixel locations of hair roots given an image of the skin. You need to develop a complicated method that smartly combines a bunch of image processing methods.

An example of these, to give you an idea would be image enhancement, image filtering, thresholding, template matching, morphological image processing, segmentation etc.

I have listed these methods to give you an idea, you may not be needing all of these or might add blocks on your own. You will probably need more advanced versions of some of these methods compared to what we have seen in class. This is a research project, so straightforward applications of a bunch of methods will not work well. You need to be creative and intelligently combine several blocks for a good method that works well.

An example image is attached. Obviously your method should not be working well for just this one example image, but perform satisfactorily for images that are similar

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dark hairs on a skin

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Your method should get the image as the input and produce x and y locations of the hair roots as its output.

write the matlab code that performs the requests in the project using digital image processing

b

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$$Manually mark the hair follicles on the given photo and write the matlab code that compares this with the position of the hair follicles in the output of the previous code. What percentage of hair follicles were used? How much deviation is there in their positions?

c

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$$Now examine the first code by adding noise. How noise resistant is it

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$$Write the matlab code.