Pyramid Image Processing - Exploring the Depths of Visual Analysis
Fouad Sabry
Casa editrice: One Billion Knowledgeable
Sinossi
What is Pyramid Image Processing Pyramid, or pyramid representation, is a type of multi-scale signal representation developed by the computer vision, image processing and signal processing communities, in which a signal or an image is subject to repeated smoothing and subsampling. Pyramid representation is a predecessor to scale-space representation and multiresolution analysis. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Pyramid (image processing) Chapter 2: Scale-invariant feature transform Chapter 3: Gabor filter Chapter 4: Scale space Chapter 5: Gaussian blur Chapter 6: Feature (computer vision) Chapter 7: Difference of Gaussians Chapter 8: Corner detection Chapter 9: Structure tensor Chapter 10: Mean shift (II) Answering the public top questions about pyramid image processing. (III) Real world examples for the usage of pyramid image processing 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 Pyramid Image Processing.
