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.