Image Processing Using Pulse-Coupled Neural Networks - Image 1

£77.23

Springer Image Processing Using Pulse-Coupled Neural Networks

Name: Image Processing Using Pulse-Coupled Neural Networks
Brand: Springer
Price: 77.23 GBP
Availability: InStock

Computer Science

About as cheap as it gets. The only time it was cheaper was 11 months ago.

£77 today · all-time low £76 (Jun 2025) · usually the usual

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 634 days • 634 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 634 days • 5 price levels

Days at Price

Current Price

Price Analysis

Most common price: £76 (379 days, 59.8%)

Price range: £76 - £95

Price levels: 5 different prices over 634 days

Description

and Theory.- Theory of Digital Simulation.- Automated Image Object Recognition.- Image Fusion.- Image Texture Processing.- Image Signatures.- Miscellaneous Applications.- Hardware Implementations. From the Back Cover This is the first book to explain and demonstrate the tremendous ability of Pulse-Coupled Neural Networks (PCNNs) when applied to the field of image processing. PCNNs and their derivatives are biologically inspired models that are powerful tools for extracting texture, segments, and edges from images. As these attributes form the foundations of most image processing tasks, the use of PCNNs facilitates traditional tasks such as recognition, foveation, and image fusion. PCNN technology has also paved the way for new image processing techniques such as object isolation, spiral image fusion, image signatures, and content-based image searches. This volume contains examples of several image processing applications, as well as a review of hardware implementations. About the Author Thomas Lindblad is a professor at the Royal Institute of Technology (Physics) in Stockholm. Working and teaching nuclear and environmental physics his main interest is with sensors, signal processing and intelligent data analysis of torrent data from experiments on-line accelerators, in space, etc. Jason Kinser is an associate professor at George Mason University. He has developed a plethora of image processing applications in the medical, military, and industrial fields. He has been responsible for the conversion of PCNN theory into practical applications providing many improvements in both speed and performance.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3642063438
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 14 October 2010
Listed Since: 01 October 2010

Barcode

No barcode data available

Springer Image Processing Using Pulse-Coupled Neural Networks

About as cheap as it gets. The only time it was cheaper was 11 months ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Image Processing and Communications Challenges 9: 9th International Conference, IP&C’2017 Bydgoszcz, Poland, September 2017, Proceedings: 681 (Advances in Intelligent Systems and Computing, 681)

Computer Vision Methods for Fast Image Classiﬁcation and Retrieval: 821 (Studies in Computational Intelligence, 821)

Practical Handbook on Image Processing for Scientific and Technical Applications

Smart Algorithms for Multimedia and Imaging (Signals and Communication Technology)

Computational Photography: Methods and Applications: 2 (Digital Imaging and Computer Vision)

A Concise Introduction to Image Processing using C++ (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

Introduction to Digital Image Processing

Image Processing and Communications: Techniques, Algorithms and Applications: 1062 (Advances in Intelligent Systems and Computing, 1062)

Image Processing and Communications Challenges 5: 233 (Advances in Intelligent Systems and Computing, 233)

Advances in Low-Level Color Image Processing: 11 (Lecture Notes in Computational Vision and Biomechanics, 11)

Advanced Topics in Computer Vision (Advances in Computer Vision and Pattern Recognition)

Mathematical Methods for Signal and Image Analysis and Representation: 41 (Computational Imaging and Vision, 41)

Computer Vision - ACCV 2010: 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part III: 6494 (Lecture Notes in Computer Science, 6494)

Digital Image Processing, Global Edition

Image Processing and Communications Challenges 4: 184 (Advances in Intelligent Systems and Computing, 184)

Topics in Medical Image Processing and Computational Vision: 8 (Lecture Notes in Computational Vision and Biomechanics, 8)

Mathematical Foundations of Image Processing and Analysis 2 (Iste)

Industrielle Bildverarbeitung: Wie optische Qualitätskontrolle wirklich funktioniert

Introduction to Image Processing and Analysis

Emerging Trends in Image Processing, Computer Vision and Pattern Recognition (Emerging Trends in Computer Science and Applied Computing)

Architecture-Aware Optimization Strategies in Real-time Image Processing (Digital Signal and Image Processing)

Infrared Small Target Detection: Theory, Methods, and Algorithms.

Digital Image Processing and Analysis: Image Enhancement, Restoration and Compression

Single-Sensor Imaging: Methods and Applications for Digital Cameras: 09 (Image Processing Series)