A Study on Evaluation and Analysis of Edge Detection Operators

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Author(s): Pinaki Pratim Acharjya (Haldia Institute of Technology, India), Subhankar Joardar (Haldia Institute of Technology, India), Santanu Koley (Haldia Institute of Technology, India)and Subhabrata Barman (Haldia Institute of Technology, India)
Copyright: 2023
Pages: 38
Source title: Meta-Learning Frameworks for Imaging Applications
Source Author(s)/Editor(s): Ashok Sharma (University of Jammu, India), Sandeep Singh Sengar (Cardiff Metropolitan University, UK)and Parveen Singh (Cluster University, Jammu, India)
DOI: 10.4018/978-1-6684-7659-8.ch004

Keywords: Cognitive Informatics / Information Science Reference / Knowledge Management and Library Science / Machine Learning

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Abstract

One of the key stages in both image processing and computer vision is edge detection. For analysis and measurement of several fundamental attributes of an object or set of objects in an image, such as area, perimeter, and form, correct identification of the edges of the objects in the image is crucial. The edge detection operators employed in image processing must therefore be thoroughly understood. In this chapter, fundamental theories and comparative assessments of several edge detection operators are discussed along with a proposed improved contour detection scheme for better performance measurement. The technique has been used to process a number of digital photos, and improved performance in terms of contour detection has been attained.

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A Study on Evaluation and Analysis of Edge Detection Operators

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