Image Processing with Cellular Topology (Hardcover, 1st ed. 2021)

This book explains why the finite topological space known as abstract cell complex is important for successful image processing and presents image processing methods based on abstract cell complex, especially for tracing and encoding of boundaries of homogeneous regions. Many examples are provided in the book, some teach you how to trace and encode boundaries in binary, indexed and colour images. Other examples explain how to encode a boundary as a sequence of straight-line segments which is important for shape recognition. A new method of edge detection in two- and three-dimensional images is suggested. Also, a discussion problem is included in the book: A derivative is defined as the limit of the relation of the increment of the function to the increment of the argument as the latter tends to zero. Is it not better to estimate derivatives as the relation of the increment of the function to the optimal increment of the argument instead of taking exceedingly small increment which leads to errors? This book addresses all above questions and provide the answers.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	March 2022
First published:	2021
Authors:	Vladimir Kovalevsky
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	184
Edition:	1st ed. 2021
ISBN-13:	978-981-16-5771-9
Categories:	Books > Science & Mathematics > Mathematics > Topology > General Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	981-16-5771-8
Barcode:	9789811657719

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