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Artificial Intelligence and ­Machine Learning Techniques ­in Image Processing and ­Computer Vision
By Karm Veer Arya (Edited by), Ciro Rodriguez Rodriguez (Edited by), Saurabh Singh (Edited by), Abhishek Singhal (Edited by)

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Format
Hardback, 316 pages
Published
23 August 2024

This new volume provides in-depth and detailed knowledge about the latest research in image processing and computer vision techniques. Explaining the machine learning algorithms and models involved, the authors differentiate between the various algorithms available and how to choose which to use for the most precise results for a specific task involving certain constraints. The volume provides real-world examples to illustrate the concepts and methods.

The authors discuss machine learning in healthcare systems for detection, diagnosis, classification, and segmentation. They also explore the diverse applications of image and video processing, including image colorization and restoration using deep learning, using machine learning to record the climate changes in over time with remote sensing, and more.


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£95.97
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£130.00
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Ships from Australia Estimated delivery date: 30th Apr - 8th May from Australia
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Product Description

This new volume provides in-depth and detailed knowledge about the latest research in image processing and computer vision techniques. Explaining the machine learning algorithms and models involved, the authors differentiate between the various algorithms available and how to choose which to use for the most precise results for a specific task involving certain constraints. The volume provides real-world examples to illustrate the concepts and methods.

The authors discuss machine learning in healthcare systems for detection, diagnosis, classification, and segmentation. They also explore the diverse applications of image and video processing, including image colorization and restoration using deep learning, using machine learning to record the climate changes in over time with remote sensing, and more.

Product Details
EAN
9781774914694
ISBN
1774914697
Dimensions
22.9 x 15.2 x 1.9 centimeters (0.60 kg)
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