Image Segmentation: Principles, Techniques, and Applications - Image 1

£84.75

Wiley Image Segmentation: Principles, Techniques, and Applications

Name: Image Segmentation: Principles, Techniques, and Applications
Brand: Wiley
Price: 84.75 GBP
Availability: InStock

AI & Machine Learning

About as cheap as it gets. The only time it was cheaper was 5 months ago.

£85 today · all-time low £81 (Jan 2026) · 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 67 days • 67 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 67 days • 5 price levels

Days at Price

Current Price

Price Analysis

Most common price: £82 (36 days, 53.7%)

Price range: £81 - £86

Price levels: 5 different prices over 67 days

Description

Image Segmentation Summarizes and improves new theory, methods, and applications of current image segmentation approaches, written by leaders in the field The process of image segmentation divides an image into different regions based on the characteristics of pixels, resulting in a simplified image that can be more efficiently analyzed. Image segmentation has wide applications in numerous fields ranging from industry detection and bio-medicine to intelligent transportation and architecture. Image Segmentation: Principles, Techniques, and Applications is an up-to-date collection of recent techniques and methods devoted to the field of computer vision. Covering fundamental concepts, new theories and approaches, and a variety of practical applications including medical imaging, remote sensing, fuzzy clustering, and watershed transform. In-depth chapters present innovative methods developed by the authors―such as convolutional neural networks, graph convolutional networks, deformable convolution, and model compression―to assist graduate students and researchers apply and improve image segmentation in their work. Describes basic principles of image segmentation and related mathematical methods such as clustering, neural networks, and mathematical morphology. Introduces new methods for achieving rapid and accurate image segmentation based on classic image processing and machine learning theory. Presents techniques for improved convolutional neural networks for scene segmentation, object recognition, and change detection, etc. Highlights the effect of image segmentation in various application scenarios such as traffic image analysis, medical image analysis, remote sensing applications, and material analysis, etc. Image Segmentation: Principles, Techniques, and Applications is an essential resource for undergraduate and graduate courses such as image and video processing, computer vision, and digital signal processing, as well as researchers working in computer vision and image analysis looking to improve their techniques and methods.

Product Specifications

Brand: Wiley
Format: Hardcover
ASIN: 111985900X
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 27 October 2022
Listed Since: 22 July 2021

Barcode

No barcode data available

Wiley Image Segmentation: Principles, Techniques, and Applications

About as cheap as it gets. The only time it was cheaper was 5 months ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Variational and Level Set Methods in Image Segmentation: 5 (Springer Topics in Signal Processing, 5)

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

Image Processing and Mathematical Morphology: Fundamentals and Applications

Foundations of Computer Vision: Computational Geometry, Visual Image Structures and Object Shape Detection: 124 (Intelligent Systems Reference Library, 124)

Foundations of Computer Vision: Computational Geometry, Visual Image Structures and Object Shape Detection: 124 (Intelligent Systems Reference Library, 124)

Image Processing and Mathematical Morphology: Fundamentals and Applications

Practical Handbook on Image Processing for Scientific and Technical Applications

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

Digital Image Processing and Analysis: Computer Vision and Image Analysis

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)

Digital Image Processing, Global Edition

Computer Vision: Principles, Algorithms, Applications, Learning

Research Developments in Computer Vision and Image Processing: Methodologies and Applications (Advances in Computational Intelligence and Robotics)

Digital Image Processing with C++: Implementing Reference Algorithms with the CImg Library

Practical Deep Learning for Computer Vision with Python

A Guide to Convolutional Neural Networks for Computer Vision (Synthesis Lectures on Computer Vision)

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

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

Computer Vision: Algorithms and Applications (Texts in Computer Science)

Computer Vision: Algorithms and Applications (Texts in Computer Science)

Advances in Computer Vision: Proceedings of the 2019 Computer Vision Conference (CVC), Volume 1: 943 (Advances in Intelligent Systems and Computing, 943)

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)

Image Processing and Pattern Recognition: Fundamentals and Techniques

Computer Vision: Three-dimensional Reconstruction Techniques