Part 1:
The first objective of the assignment is to implement image enhancement techniques, such as:
Histogram stretching
Power law or log transform
Linear (convolution) and non-linear filtering (Median filter)
Any other useful approach
to improve the quality of the input images. By image quality, we mean any criteria that can be used to enhance the appearance of the image. Your solution must provide the user with the choice of any combination of approaches to improve the appearance of the image.
Part 2:
After enhancing the image, your solution must provide a selection of edge detectors to extract the contours of the image. For the purpose of display, generate the magnitude of the gradient.
Submission:
For this assignment you will need to submit:
A report of maximum 3 pages that explains the best strategy to improve and detect the edges of image MRI.pgm. The report must include:
Description of the approaches and justifications: You must justify the choices made for image enhancing and edge detection stages. You have also to provide justifications if more than one technique is applied for smoothing or edge detection. The parameter values for each technique (for instance, the value of if gamma correction is required) must be included in the report.
Within your report, show the resulting images at the output of each enhancement stage.
Discuss briefly your results: if your objective is to enhance the fine details in the image, so be concrete and specify exactly which detail in the image you want to enhance.
The program codes
Good Luck
