Hough Transform - Unveiling the Magic of Hough Transform in Computer Vision
Fouad Sabry
Casa editrice: One Billion Knowledgeable
Sinossi
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.