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What is CLS

Examining Fractal Image Processing and Analysis
Canny, LoG, and Sobel.
Published in Chapter:
An Edge Detection Approach for Fractal Image Processing
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: 22
DOI: 10.4018/978-1-7998-0066-8.ch001
Abstract
Research in the field of fractal image processing (FIP) has increased in the current era. Edge detection of fractal images can be considered as an important domain of research in FIP. Detecting edges in different fractal images accurate manner is a challenging problem in FIP. Several methods have introduced by different researchers to detect the edges of images. However, no method works suitably under all conditions. In this chapter, an edge detection method is proposed to detect the edges of gray scale and color fractal images. This method focuses on the quantitative combination of Canny, LoG, and Sobel (CLS) edge detection operators. The output of the proposed method is produced using matrix laboratory (MATLAB) R2015b and compared with the edge detection operators such as Sobel, Prewitt, Roberts, LoG, Canny, and mathematical morphological operator. The experimental outputs show that the proposed method performs better as compared to other traditional methods.
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Underwater Localization Techniques
Collaborative localization scheme, which determines the position, without the need of transponders.
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