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Edge Detection-Digital Image Processing-Project Report

Project, Digital Image Processing

Post: July 23th, 2012
Description
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
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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ganpati

ganpati
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Contents
Scope of the Project 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 docsity.com have used the following two masks fo..

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