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A Study on Different Edge Detection Techniques in Digital Image Processing

A Study on Different Edge Detection Techniques in Digital Image Processing

Shouvik Chakraborty, Mousomi Roy, Sirshendu Hore
Copyright: © 2018 |Pages: 23
ISBN13: 9781522552048|ISBN10: 1522552049|EISBN13: 9781522552055
DOI: 10.4018/978-1-5225-5204-8.ch070
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MLA

Chakraborty, Shouvik, et al. "A Study on Different Edge Detection Techniques in Digital Image Processing." Computer Vision: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2018, pp. 1686-1708. https://doi.org/10.4018/978-1-5225-5204-8.ch070

APA

Chakraborty, S., Roy, M., & Hore, S. (2018). A Study on Different Edge Detection Techniques in Digital Image Processing. In I. Management Association (Ed.), Computer Vision: Concepts, Methodologies, Tools, and Applications (pp. 1686-1708). IGI Global. https://doi.org/10.4018/978-1-5225-5204-8.ch070

Chicago

Chakraborty, Shouvik, Mousomi Roy, and Sirshendu Hore. "A Study on Different Edge Detection Techniques in Digital Image Processing." In Computer Vision: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1686-1708. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5204-8.ch070

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Abstract

Image segmentation is one of the fundamental problems in image processing. In digital image processing, there are many image segmentation techniques. One of the most important techniques is Edge detection techniques for natural image segmentation. Edge is a one of the basic feature of an image. Edge detection can be used as a fundamental tool for image segmentation. Edge detection methods transform original images into edge images benefits from the changes of grey tones in the image. The image edges include a good number of rich information that is very significant for obtaining the image characteristic by object recognition and analyzing the image. In a gray scale image, the edge is a local feature that, within a neighborhood, separates two regions, in each of which the gray level is more or less uniform with different values on the two sides of the edge. In this paper, the main objective is to study the theory of edge detection for image segmentation using various computing approaches.

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