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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This book provides a concise introduction to computer vision for optical researchers and scientists. Building from the optical foundations of image processing and the science behind camera sensors, Optics and Artificial Vision equips the reader with the tools needed to understand and engage with digital image processing, the algorithms of optical flow and the algorithms of object detection, using Python ® software to show real, implemented applications in industry. Ideal for industry engineers with projects related to computer vision, as well as a good reference text for academics, students and other researchers working at the intersection of artificial intelligence and optics.
Key Features:
Provides a concise introduction to artificial vision
Main algorithms in computer vision are presented, step-by-step in a pedagogical way
Presents all algorithms in Python
Shows real implemented applications in industry
Optical foundations of image processing are presented
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This book provides a concise introduction to computer vision for optical researchers and scientists. Building from the optical foundations of image processing and the science behind camera sensors, Optics and Artificial Vision equips the reader with the tools needed to understand and engage with digital image processing, the algorithms of optical flow and the algorithms of object detection, using Python ® software to show real, implemented applications in industry. Ideal for industry engineers with projects related to computer vision, as well as a good reference text for academics, students and other researchers working at the intersection of artificial intelligence and optics.
Key Features:
Provides a concise introduction to artificial vision
Main algorithms in computer vision are presented, step-by-step in a pedagogical way
Presents all algorithms in Python
Shows real implemented applications in industry
Optical foundations of image processing are presented