Human-Centric Machine Vision

Manuela Chessa, Fabio Solari, Silvio P. Sabatini, Manuela Chessa, Fabio Solari, Silvio P. Sabatini

• Publisher: IntechOpen
• Year: 2012
• Print ISBN: 9789535105633
• eBook ISBN: 9789535155782
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

Recently, the algorithms for the processing of the visual information have greatly evolved, providing efficient and effective solutions to cope with the variability and the complexity of real-world environments. These achievements yield to the development of Machine Vision systems that overcome the typical industrial applications, where the environments are controlled and the tasks are very specific, towards the use of innovative solutions to face with everyday needs of people. The Human-Centric Machine Vision can help to solve the problems raised by the needs of our society, e.g. security and safety, health care, medical imaging, and human machine interface. In such applications it is necessary to handle changing, unpredictable and complex situations, and to take care of the presence of humans.

Table of contents

• Human-Centric Machine Vision
• Contents
• Preface
• Chapter 1 The Perspective Geometry of the Eye: Toward Image-Based Eye-Tracking
• Chapter 2 Feature Extraction Based on Wavelet Moments and Moment Invariants inMachine Vision Systems
• Chapter 3 A Design for Stochastic Texture Classification Methods in Mammography Calcification Detection
• Chapter 4 Optimized Imaging Techniques to Detect and Screen the Stages of Retinopathy of Prematurity
• Chapter 5 Automatic Scratching Analyzing System for Laboratory Mice: SCLABA-Real
• Chapter 6 Machine Vision Application to Automatic Detection of Living Cells/Objects
• Chapter 7 Reading Mobile Robots and 3D Cognitive Mapping
• Chapter 8 Transformations of Image Filters for Machine Vision Using Complex-Valued Neural Networks
• Chapter 9 Boosting Economic Growth Through Advanced Machine Vision