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What is Prewitt Operator

Examining Fractal Image Processing and Analysis
An edge detection operator that focuses on the computation of gradient approximation of the image intensity function.
Published in Chapter:
An Algorithmic Approach Based on CMS Edge Detection Technique for the Processing of Digital Images
Kalyan Kumar Jena (Parala Maharaja Engineering College, India), Sasmita Mishra (Indira Gandhi Institute of Technology, India), and Sarojananda Mishra (Indira Gandhi Institute of Technology, India)
Copyright: © 2020 |Pages: 21
DOI: 10.4018/978-1-7998-0066-8.ch013
Abstract
Research in the field of digital image processing (DIP) has increased in the current scenario. Edge detection of digital images is considered as an important area of research in DIP. Detecting edges in different digital images accurately is a challenging work in DIP. Different methods have been introduced by different researchers to detect the edges of images. However, no method works well under all conditions. In this chapter, an edge detection method is proposed to detect the edges of gray scale and color images. This method focuses on the combination of Canny, mathematical morphological, and Sobel (CMS) edge detection operators. The output of the proposed method is produced using matrix laboratory (MATLAB) R2015b and compared with Sobel, Prewitt, Roberts, Laplacian of Gaussian (LoG), Canny, and mathematical morphological edge detection operators. The experimental results show that the proposed method works better as compared to other existing methods in detecting the edges of images.
Full Text Chapter Download: US $37.50 Add to Cart
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An Edge Detection Approach for Fractal Image Processing
An edge detection operator that focuses on the computation of gradient approximation of the image intensity function.
Full Text Chapter Download: US $37.50 Add to Cart
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