Edge Detection Techniques: Evaluations and Comparison

Ehsan Nadernejad, Sara Sharifzadeh, Hamid Hassanpour

Research output: Contribution to journalJournal articleCommunication

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Abstract

Edge detection is one of the most commonly used operations in image analysis, and there are probably more algorithms in the literature for enhancing and detecting edges than any other single subject. The reason for this is that edges form the outline of an object. An edge is the boundary between an object and the background, and indicates the boundary between overlapping objects. This means that if the edges in an image can be identified accurately, all of the objects can be located and basic properties such as area, perimeter, and shape can be measured. Since computer vision involves the identification and classification of objects in an image, edge detections is an essential tool. In this paper, we have compared several techniques for edge detection in image processing. We consider various well-known measuring metrics used in image processing applied to standard images in this comparison.
Keyword: : image processing, edge detection, Euclidean distance, canny detector
Original languageEnglish
JournalApplied Mathematical Sciences
Volume2
Issue number31
Pages (from-to)1507-1520
ISSN1312-885X
Publication statusPublished - 2008
Externally publishedYes

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