
Machine Vision
Applications and Systems
- 286 pages
- English
- PDF
- Available on iOS & Android
Machine Vision
Applications and Systems
About this book
Vision plays a fundamental role for living beings by allowing them to interact with the environment in an effective and efficient way. The ultimate goal of Machine Vision is to endow artificial systems with adequate capabilities to cope with not a priori predetermined situations. To this end, we have to take into account the computing constraints of the hosting architectures and the specifications of the tasks to be accomplished, to continuously adapt and optimize the visual processing techniques. Nevertheless, by exploiting the low?cost computational power of off?the?shell computing devices, Machine Vision is not limited any more to industrial environments, where situations and tasks are simplified and very specific, but it is now pervasive to support system solutions of everyday life problems.
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Information
Table of contents
- Machine Vision - Applications and Systems
- Contents
- Preface
- Chapter 1 Bio-Inspired Active Vision Paradigms in Surveillance Applications
- Chapter 2 Stereo Matching Method and Height Estimation for Unmanned Helicopter
- Chapter 3 Fast Computation of Dense and Reliable Depth Maps from Stereo Images
- Chapter 4 Real-Time Processing of 3D-TOF Data in Machine Vision Applications
- Chapter 5 Rotation Angle Estimation Algorithms for Textures and Their Implementations on Real Time Systems
- Chapter 6 Characterization of the Surface Finish of Machined Parts Using Artificial Vision and Hough Transform
- Chapter 7 Methods for Ellipse Detection from Edge Maps of Real Images
- Chapter 8 Detection and Pose Estimation of Piled Objects Using Ensemble of Tree Classifiers
- Chapter 9 Characterization of Complex Industrial Surfaces with Specific Structured Patterns
- Chapter 10 Discontinuity Detection from Inflection of Otsu’s Threshold in Derivative of Scale-Space
- Chapter 11 Reflectance Modeling in Machine Vision: Applications in Image Analysis and Synthesis
- Chapter 12 Towards the Optimal Hardware Architecture for Computer Vision