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Canny Edge Detector
Fouad Sabry
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Naturwissenschaften, Medizin, Informatik, Technik / Informatik, EDV
Beschreibung
What is Canny Edge Detector
This edge detection operator is known as the Canny edge detector, and it employs a multi-stage method in order to identify a large variety of edges that are present in images. In 1986, John F. Canny was the one who had the idea for it. Additionally, Canny developed a computational theory of edge detection, which explains the logic behind the effectiveness of the technique.
How you will benefit
(I) Insights, and validations about the following topics:
Chapter 1: Canny edge detector
Chapter 2: Edge detection
Chapter 3: Sobel operator
Chapter 4: Gaussian blur
Chapter 5: Prewitt operator
Chapter 6: Image gradient
Chapter 7: Deriche edge detector
Chapter 8: Compressed sensing
Chapter 9: Histogram of oriented gradients
Chapter 10: Harris affine region detector
(II) Answering the public top questions about canny edge detector.
(III) Real world examples for the usage of canny edge detector in many fields.
Who this book is for
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Canny Edge Detector.
Kundenbewertungen
Image gradient, Edge detection, Canny edge detector, Sobel operator, Deriche edge detector, Prewitt operator, Gaussian blur