Image processing

Automatic detection and segmentation of anatomical structures in medical images are prerequisites to subsequent image measurements and disease quantification, and therefore have multiple clinical applications.

The reliable detection of low-level image structures is an old and still challenging problem in computer vision.

Companies are spending billions on machine learning projects, but its money wasted if the models cant be deployed effectively.

Companies are spending billions on machine learning projects, but its money wasted if the models cant be deployed effectively.

Learn how to fuse today's data science tools and techniques with your SAP enterprise resource planning (ERP) system.

Learn how to fuse today's data science tools and techniques with your SAP enterprise resource planning (ERP) system.

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning.

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning.

Learn how to solve challenging machine learning problems with TensorFlow, Googles revolutionary new software library for deep learning.

Learn how to solve challenging machine learning problems with TensorFlow, Googles revolutionary new software library for deep learning.

Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time.

Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time.

Welcome to Scientific Python and its community.

Welcome to Scientific Python and its community.

It has long been a dream to realize machines with flexible visual perception capability.

This book presents various machine learning applications in the field of engineering with a focus on deep learning-based machine learning approaches.

Use R 4, RStudio, Tidyverse, and Shiny to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way.

Learn how to edit images and create compelling digital art with Glimpse, the newest open source alternative to Adobe Photoshop and GIMP.

Master the syntax for working with R's plotting functions in graphics and stats in this easy reference to formatting plots.

Teach yourself programming starting with the basics and progressing to a series of exciting projects using Kotlin, one of today's hottest programming languages.

Use R 4, RStudio, Tidyverse, and Shiny to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way.

Do you find yourself wondering what the fuss is about a delta 3D printer?

In 3D Printing With MatterControl, Joan Horvath and Rich Cameron, the team behind Mastering 3D Printing, explain step-by-step how to use the MatterControl program, which allows you to control many common types of 3D printers (including both cartesian and delta style machines).

Beginning Design for 3D Printing is the full color go-to-guide for creating just about anything on a 3D printer.

The New Shop Class connects the worlds of the maker and hacker with that of the scientist and engineer.

This book introduces you to professional photography and composition principles, tricks and techniques of iphoneography, photosharing, and more.

This volume brings together the results of research into the methodology and applications of pattern recognition, with particular emphasis given to the incorporation of artificial intelligence methodologies into pattern recognition systems.

Congratulations to Ken Perlin for his 1997 Technical Achievement Award from the Academy of Motion Picture Arts and Science Board of Governors, given in recognition of the development of "e;Turbulence"e;, Perlin Noise, a technique discussed in this book which is used to produce natural appearing textures on computer-generated surfaces for motion picture visual effects.

Digital Picture Processing

The high degree of scientific interest in face processing is readily understandable, since people's faces provide such a wealth of social information.

Image Modeling compiles papers presented at a workshop on image modeling in Rosemont, Illinois on August 6-7, 1979.

The field of magnetic resonance imaging (MRI) has developed rapidly over the past decade, benefiting greatly from the newly developed framework of compressed sensing and its ability to drastically reduce MRI scan times.

Electron Microscopy and Analysis deals with several sophisticated techniques for magnifying images of very small objects by large amounts - especially in a physical science context.

Dermoscopy is a noninvasive skin imaging technique that uses optical magnification and either liquid immersion or cross-polarized lighting to make subsurface structures more easily visible when compared to conventional clinical images.

In recent years visual devices have proliferated, from the massive high-resolution, high-contrast screens to the tiny ones on mobile phones, with their limited dynamic range and color gamut.

Highly Regarded, Accessible Approach to Image Processing Using Open-Source and Commercial SoftwareA Computational Introduction to Digital Image Processing, Second Edition explores the nature and use of digital images and shows how they can be obtained, stored, and displayed.

Introduction to Visual Computing: Core Concepts in Computer Vision, Graphics, and Image Processing covers the fundamental concepts of visual computing.

The result of more than 15 years of collective research, Multimedia Ontology: Representation and Applications provides a theoretical foundation for understanding the nature of media data and the principles involved in its interpretation.

Video Cataloguing explains how to efficiently perform video structure analysis as well as extract the basic semantic contents for video summarization, which is essential for handling large-scale video data.

This book provides a theoretical and technical basis for advanced research on visual data compression and communication.

Face detection and recognition are the nonintrusive biometrics of choice in many security applications.

Image and video signals require large transmission bandwidth and storage, leading to high costs.

From Design Methods and Generation Schemes to State-of-the-Art ApplicationsWavelets are powerful tools for functional analysis and geometry processing, enabling researchers to determine the structure of data and analyze 3D shapes.

Integrating Scale in Remote Sensing and GIS serves as the most comprehensive documentation of the scientific and methodological advances that have taken place in integrating scale and remote sensing data.

The subject of digital image processing has migrated from a graduate to a junior or senior level course as students become more proficient in mathematical background earlier in their college education.

A Versatile Framework for Handling Subdivided Geometric ObjectsCombinatorial Maps: Efficient Data Structures for Computer Graphics and Image Processing gathers important ideas related to combinatorial maps and explains how the maps are applied in geometric modeling and image processing.

Although lunar exploration began in the 1960s, the moon and other planets have many long-standing, unanswered questions about planetary environments, origin, formation and evolution, magnetization of crustal rocks, internal structure, and possible life.

This book provides a synthesis of the multifaceted field of interactive multimodal information management.

Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging environments.

Volume I of the Six Volume Remote Sensing Handbook, Second Edition, is focused on satellites and sensors including radar, light detection and ranging (LiDAR), microwave, hyperspectral, unmanned aerial vehicles (UAVs), and their applications.