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Title: Hybrid Edge Detection Technique for Digital Images
Authors: Vij, Dinesh
Supervisor: Singh, Singara
Keywords: Edge detection;Sobel;Canny;Hybrid
Issue Date: 16-Jul-2012
Abstract: Edge detection is a fundamental tool in image processing, machine vision and computer vision, particularly in the areas of feature detection and feature extraction, which aims at identifying points in a digital image at which the image brightness changes sharply or, more formally, has discontinuities. A kind of hybrid method using Sobel operator, Canny operator and our algorithm is proposed, which keeps their respective advantages. Experiments show that this technique improves the accuracy of edge detection. So, the final image contains a relatively complete edge profile. In practice, choosing a suitable method for image edge extraction is based on specific conditions. Different algorithms have their respective advantages and disadvantages. All kinds of algorithms exist flawed, so this hybrid method combines the advantages of different algorithms in order to obtain a better result.
Description: Master of Technology (Computer Science and Applications)
Appears in Collections:Masters Theses@CSED

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