Computer vision

Visual Perception and Control of Underwater Robots covers theories and applications from aquatic visual perception and underwater robotics.

Visual Perception and Control of Underwater Robots covers theories and applications from aquatic visual perception and underwater robotics.

In view of better results expected from examination of medical datasets (images) with hybrid (integration of thresholding and segmentation) image processing methods, this work focuses on implementation of possible hybrid image examination techniques for medical images.

In view of better results expected from examination of medical datasets (images) with hybrid (integration of thresholding and segmentation) image processing methods, this work focuses on implementation of possible hybrid image examination techniques for medical images.

This book provides an in-depth overview of artificial intelligence and deep learning approaches with case studies to solve problems associated with biometric security such as authentication, indexing, template protection, spoofing attack detection, ROI detection, gender classification etc.

This book provides an in-depth overview of artificial intelligence and deep learning approaches with case studies to solve problems associated with biometric security such as authentication, indexing, template protection, spoofing attack detection, ROI detection, gender classification etc.

With urbanization as a global phenomenon, there is a need for data and information about these terrains.

With urbanization as a global phenomenon, there is a need for data and information about these terrains.

Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques is a comprehensive guide to research with invaluable image data.

Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques is a comprehensive guide to research with invaluable image data.

A Beginner's Guide to Image Multi-Level Thresholding emphasizes various image thresholding methods that are necessary for image pre-processing and initial level enhancement.

A Beginner's Guide to Image Multi-Level Thresholding emphasizes various image thresholding methods that are necessary for image pre-processing and initial level enhancement.

The book provides a mix of theoretical and practical perceptions of the related concepts pertaining to image processing.

This state-of-the-art volume covers recent developments in research on audio description, the professional practice dedicated to making audiovisual products, artistic artefacts and performances accessible to those with supplementary visual and cognitive needs.

Knowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques, reflecting the tremendous worldwide interest in the applications of knowledge-based techniques in this challenging field.

Introduces designers to hardware and software tools necessary for planning, laying out, and building advanced robot-based manufacturing cells surveying the available technology for creating innovative machines suitable to individual needs.

Knowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques, reflecting the tremendous worldwide interest in the applications of knowledge-based techniques in this challenging field.

Introduces designers to hardware and software tools necessary for planning, laying out, and building advanced robot-based manufacturing cells surveying the available technology for creating innovative machines suitable to individual needs.

In today's world, deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible.

In today's world, deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible.

This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy machine learning and deep learning algorithms.

This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy machine learning and deep learning algorithms.

This state-of-the-art volume covers recent developments in research on audio description, the professional practice dedicated to making audiovisual products, artistic artefacts and performances accessible to those with supplementary visual and cognitive needs.

This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification.

This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification.

Unified Signal Theory is an indispensible textbook dealing with the theory of deterministic signals; a topic of fundamental interest to graduates and senior undergraduates in the areas of information engineering (telecommunications, control, systems theory and electronics), astronomy, oceanography, earth science, biology and medicine.

The use of computer vision systems to control manufacturing processes and product quality has become increasingly important in food processing.

Because the properties of objects are largely determined by their geometric features, shape analysis and classification are essential to almost every applied scientific and technological area.

We live in a three-dimensional world.

We live in a three-dimensional world.

Sampling, wavelets, and tomography are three active areas of contemporary mathematics sharing common roots that lie at the heart of harmonic and Fourier analysis.

Advances in Discrete Tomography and Its Applications is a unified presentation of new methods, algorithms, and select applications that are the foundations of multidimensional image reconstruction by discrete tomographic methods.

Machine Learning and Deep Learning Techniques for Medical Image Recognition comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing.

Computational Knowledge Vision: The First Footprints presents a novel, advanced framework which combines structuralized knowledge and visual models.

In recent years, deep learning has shown great potential in transforming various fields including healthcare.

Machine Learning and Deep Learning Techniques for Medical Image Recognition comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing.

The use of computer vision systems to control manufacturing processes and product quality has become increasingly important in food processing.

The major goals of texture research in computer vision are to understand, model, and process texture and, ultimately, to simulate the human visual learning process using computer technologies.

Explainable AI for Autonomous Vehicles: Concepts, Challenges, and Applications is a comprehensive guide to developing and applying explainable artificial intelligence (XAI) in the context of autonomous vehicles.

"e;This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised.

"e;This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised.

Algorithms for Computer Algebra is the first comprehensive textbook to be published on the topic of computational symbolic mathematics.

This 1996 book describes an exciting theoretical paradigm for visual perception based on experimental and computational insights.

Video Tracking provides a comprehensive treatment of the fundamental aspects of algorithm and application development for the task of estimating, over time, the position of objects of interest seen through cameras.

Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance.

Although it is now possible to integrate many millions of transistors on a single chip, traditional digital circuit technology is now reaching its limits, facing problems of cost and technical efficiency when scaled down to ever-smaller feature sizes.

The 1985 Amsterdam conference brought together researchers active in pattern recognition methodology and the development of practical applications.

This book provides different mathematical frameworks for addressing supervised learning.

This book provides different mathematical frameworks for addressing supervised learning.

Revised and expanded to reflect the most recent innovations in the field, The Scientific Examination of Documents, Fourth Edition is a handy, accessible volume detailing current best-practices for forensic document examination.