Introduction to Image Classification

From Designed Models to End-to-End Learning

Inbunden, Engelska, 2024

Av Klaus D. Toennies

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Next, neural networks are presented as a means to learn a classification model directly from labeled sample images, with individual components of the network discussed.

Produktinformation

Utgivningsdatum2024-01-25
Mått155 x 235 x 23 mm
Vikt629 g
FormatInbunden
SpråkEngelska
Antal sidor290
FörlagSpringer Verlag, Singapore
ISBN9789819978816

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Systemvetenskap och AI inom Data och it
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Klaus D. Toennies is a retired professor of Computer Science at the Otto-von-Guericke-Universitaet (OvGU) Magdeburg in Germany. From 1998 to 2022, he led the Computer Vision Group at OvGU. Since 2022, he has served as a visiting professor at the German Faculty of Engineering at the Technical University Sofia, collaborating on the development of an Artificial Intelligence syllabus for the faculty’s Computer Science programs. Prof. Toennies has authored several books and numerous journal papers on topics in image processing, computer vision, and image analysis for Medical Images, including the Springer book Guide to Medical Image Analysis.

Chapter 1. Image Classification – A Computer Vision Task.- Chapter 2. Image Features – Extraction and Categories.- Chapter 3. Feature Reduction.- Chapter 4. Bayesian Image Classification in Feature Space.- Chapter 5. Distance-based Classifiers.- Chapter 6. Decision Boundaries in Feature Space.- Chapter 7. Multi-layer Perceptron for Image Classification.- Chapter 8. Feature Extraction by Convolutional Neural Network.- Chapter 9. Network Set-up for Image Classification.- Chapter 10. Basic Network Training for Image Classification.- Chapter 11. Dealing with Training Deficiencies.- Chapter 12. Learning Effects and Network Decisions.