Edge Detection in Image Processing
An Approach to Kayyali Operator
(Sprache: Englisch)
In the analysis of the objects in images it is essential that we can distinguish between the objects of interest and "the rest." This latter group is also referred to as the background. The techniques that are used to find the objects of interest are...
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In the analysis of the objects in images it is essential that we can distinguish between the objects of interest and "the rest." This latter group is also referred to as the background. The techniques that are used to find the objects of interest are usually referred to as segmentation techniques - segmenting the foreground from background. This book is a chapter of my handbook reference Digital Image Processing which was published in 2001, however, this book has a great references and recent published papers about image segmentation and edge detection using Kayyali Operator. I hope you will find this book useful for your research.
Autoren-Porträt von Mohamed Kayyali
Kayyali, MohamedDr. Kayyali, Former Researcher at University of California UCSB, Certified Innovation Management from Harvard Business School HBS, a PhD & M.Sc from (WCU), he is IEEE Industrial Officer, and BCS (British Computer Society)Chartered Fellow, Chartered Scientist by the Royal Chartered of UK Science Council & Awarded BCS ELITE.
Bibliographische Angaben
- Autor: Mohamed Kayyali
- 2020, 132 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6203193860
- ISBN-13: 9786203193862
Sprache:
Englisch
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