
Sách Feature Extraction and Image Processing for Computer Vision (Sách keo gáy, bìa mềm)
Feature Extraction for Image Processing and Computer Vision
is an essential guide to the implementation of image processing and
computer vision techniques, with tutorial introductions and sample code
in MATLAB and Python. Algorithms are presented and fully explained to
enable complete understanding of the methods and techniques
demonstrated. As one reviewer noted, "The main strength of the proposed
book is the link between theory and exemplar code of the algorithms."
Essential background theory is carefully explained.
This text
gives students and researchers in image processing and computer vision a
complete introduction to classic and state-of-the art methods in
feature extraction together with practical guidance on their
implementation.
The only text to concentrate on feature
extraction with working implementation and worked through mathematical
derivations and algorithmic methods
A thorough overview of
available feature extraction methods including essential background
theory, shape methods, texture and deep learning
Up to date
coverage of interest point detection, feature extraction and description
and image representation (including frequency domain and colour)
Good balance between providing a mathematical background and practical implementation
Detailed and explanatory of algorithms in MATLAB and Python
Thể loại: Computers - Computer Science
Năm:2019
In lần thứ:4
Ngôn ngữ:english
Trang:652