Computer and Machine Vision. Theory, Algorithms, Practicalities

Computer and machine vision : theory, al

📁 Computer and machine vision : theory, algorithms, practicalities

✍ E R Davies 📂 Library 📅 2012 🏛 Elsevier 🌐 English

Computer and Machine Vision: Theory, Alg

📁 Computer and Machine Vision: Theory, Algorithms, Practicalities

✍ E. R. Davies 📂 Library 📅 2012 🏛 Academic Press 🌐 English

Computer and Machine Vision Presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This text contains case studies on surveillance and driver assistance systems that give practical m

Computer and Machine Vision, Fourth Edit

📁 Computer and Machine Vision, Fourth Edition: Theory, Algorithms, Practicalities

✍ Davies E.R. 📂 Library 🌐 English

Academic Press, 2012. - 912 p. - ISBN: 978-0123869081.<div class="bb-sep"></div>Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elemen

Machine vision: Theory, algorithms, prac

📁 Machine vision: Theory, algorithms, practicalities

✍ E. R. Davies 📂 Library 📅 2005 🏛 Elsevier 🌐 English

In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed i

Machine Vision: Theory, Algorithms, Prac

📁 Machine Vision: Theory, Algorithms, Practicalities

✍ E. R. Davies 📂 Library 📅 2005 🌐 English

In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed i

Machine vision: theory, algorithms, prac

📁 Machine vision: theory, algorithms, practicalities

✍ E. R. Davies 📂 Library 📅 2005 🏛 Morgan Kaufmann 🌐 English