What is Hough Transform

The Hough transform is a feature extraction technique used in image analysis, computer vision, and digital image processing. The purpose of the technique is to find imperfect instances of objects within a certain class of shapes by a voting procedure. This voting procedure is carried out in a parameter space, from which object candidates are obtained as local maxima in a so-called accumulator space that is explicitly constructed by the algorithm for computing the Hough transform.

How you will benefit

(I) Insights, and validations about the following topics:

Chapter 1: Hough transform

Chapter 2: Generalised Hough transform

Chapter 3: Randomized Hough transform

Chapter 4: Circle Hough Transform

Chapter 5: Line detection

Chapter 6: 3D projection

Chapter 7: Parametric equation

Chapter 8: Equation

Chapter 9: Ellipse

Chapter 10: Cissoid

(II) Answering the public top questions about hough transform.

(III) Real world examples for the usage of hough transform 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 Hough Transform.