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This is my project report on digital image processing course. It was supervised and submitted to Prof. Anwar Malik at Bengal Engineering and Science University. It includes: Edge, Detection, Image, Processing, Technique, Capture, Sharp, Intensity, Transitions, Line, Detection, Direction
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In this project, we will implement techniques of image segmentation and edge detection on a pre-acquired image. Primary focus is on detecting distinct shapes in an image.
Edge Detection:
Edge detection in image processing is a technique to capture sharp intensity transitions that form edges in an image. To accomplish this we require a mask capable of doing that.In this project we are using Laplacian mask for detecting edges. This filter is generated with following command.
In above expressing ‘f’ is the image, w is the Laplacian mask and last parameter is used for image zero padding for convolution.
Line Detection:
Line detection is basically a member technique of image segmentation domain of digital image processing.In an edge detected image, line detection can be applied fairly easily.
We accomplish this by using predefined masks, and they differ from each other regarding their direction or orientation.We
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have used the following two masks for horizontal and vertical lines detection.
Images that are low in contrast can be contrast stretched or enhanced for better appearance.
This can be done using
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