Edge Detection-Digital Image Processing-Project Report, Projects for Digital Image Processing. Bengal Engineering & Science University

Digital Image Processing

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
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Uploaded by: ganpati
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University: Bengal Engineering & Science University
Address: Engineering
Upload date: 23/07/2012
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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

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have used the following two masks for horizontal and vertical

lines detection.

-1 2 -1 -1 2 -1 -1 2 -1

Vertical Line Detection mask

-1 -1 -1 2 2 2 -1 -1 -1

Horizontal Line Detection mask

Contrast Stretching:

Images that are low in contrast can be contrast stretched or

enhanced for better appearance.

This can be done using

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