An Efficient Image Sharpening Filter for Enhancing Edge Detection Techniques for 2D, High Definition and Linearly Blurred Images

Palak Kumar¹ , Vineet Saini²

Section:Research Paper, Product Type: Isroset-Journal
Vol.2 , Issue.1 , pp.6-10, Jan-2014

Online published on Feb 28, 2014

Copyright © Palak Kumar , Vineet Saini . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
The edge detectors are widely used in computer vision to locate sharp intensity changes and to find object boundaries in an image. Image Edge detection significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image. Since edge detection is in the forefront of image processing for object detection, it is crucial to have a good understanding of edge detection algorithms. The construction of a pre-processing filtering tool for edge detection and segmentation tasks is still a challenging matter. In this paper the revision of edge detectors are done to improve their detection accuracy. This work proposes an edge sharpening filter to sharpen the edges of an image prior to detection and then apply the edge detectors for the better results. The difference in the output can be observed by comparing the results of edge detection under normal and filtered conditions.

Key-Words / Index Term :
Edge detection,Canny edge detection technique improvement, Image Sharpening Filter,Comparative analysis of image with proposed Filter and 2D FIR Filter

References :
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