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CS-467 Image processing and Computer Vision
Project 6
The purpose of this project is to test the efficiency of unsharp mas...
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Project 6

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Project 6

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Project 6

  1. 1. CS-467 Image processing and Computer Vision Project 6 The purpose of this project is to test the efficiency of unsharp masking and edge detection for details enhancement Use VEGA program 1. Choose an image ( , )f x y and choose some detail you want to enhance. Try to enhance it using Global frequency correction mean and median filters with a window size equal and larger than sizes of your detail of interest. Save the best resulting image that you obtained. Your quality criterion is your visual perception. 1. Choose an image ( , )f x y 2. Detect edges using Sobel, Prewitt, Laplace-1, Laplace-2, edge detectors. Use Edge Detection  Edge Detection menu item in VEGA. Save your results. 3. Detect upward, downward, and "global" edges on the same image using Stack Filtering Edge Detector. Use Edge Detection  Precise Edge Detection with "Stack Filtration" box checked in VEGA. Detect also upward, downward, and "global" edges on the same image using Precise Edge Detector. Use Edge Detection  Precise Edge Detection with "Stack Filtration" and "Segmentation" boxes unchecked in VEGA. Save your results. 4. Adding an edged image to the original one (using appropriate coefficients-weights), try to enhance image details. Save your results. Compare the resulting images to each other. Which details are better enhanced using which detector? 5. Prepare a technical report with the references to your saved results. Bonus (100 % extra credit score). Design a Matlab function for edge detection using Sobel, Prewit, and TBF (Stack) operators (not employing edge detection functions from Matlab), which accepts an image and the type of detector as parameters (3 options should be reserved for the TBF (Stack) detector) and return a resulting image. 6. Put your resulting images and the report in the subfolder Project 6 (you need to create it) located in the designated folder (named by your last name) in the folder sfs01classesCS 467 001Class Data (The folder sfs01classes is mapped from all the lab computers, so you can easily find it through File Explorer (Computer) in Windows 7. A shortcut to the Classes folder is also available on the desktop of the lab computers.

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