A Comparative Study of Edge Detection Techniques in Digital Images

Language: English

Published by GRIN Verlag Feb 2020, 2020

3346102394 / 9783346102393

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This item is printed on demand - Print on Demand Titel. Neuware -Master's Thesis from the year 2016 in the subject Computer Science - Applied, , course: MSIT (Hons), language: English, abstract: In digital image processing, edge detection is a process for getting the boundaries of objects in digital image, structural image and removing the unwanted area from digital image, edge is important and basic information which can be manipulated by different edge detection techniques. In this work, edge detections methodologies and their mathematical formulas are investigated and detailed concepts of fundamental operations of edge detection techniques and their comparison are presented. Old theories and research papers are also repeated and replicated in this paper. Methodologies that are investigated in research are first order edge detection that includes classical operators like Prewitt, Sobel and Robert, and the canny edge detection. These edge detection techniques are applied to different images like human face, plants, birds and cups etc.Classical operator as well as Canny operators are applied on digital image and investigated the simulated results of these operators and also investigate the mathematical reasons for their performances. After doing this, the research done makes a conclusion that Canny operator offers the best performance among the operators considered in this work but not give same results in all type of images, canny also failed to detect edges where image have more data. Simulation of edge detection techniques are carried out in Matlab and the comparison is made on the basis of the Matlab results and mathematical equations.GRIN Publishing GmbH, Waltherstraße 23, 80337 München 56 pp. Englisch.…

Seller Inventory # 9783346102393

Title
A Comparative Study of Edge Detection Techniques in Digital Images
Author
Naeem Akbar Channar
Publisher
GRIN Verlag Feb 2020
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3346102394
ISBN 13
9783346102393
Item weight
96 grams
Dimensions
210x148x5 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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