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1-10 of 104 Reviews about "
General (I.4.0)
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Date Reviewed
Foundations of computational imaging: a model-based approach
Bouman C., SIAM, Philadelphia, PA, 2022. 349 pp. Type: Book (1611977126)
This attractively titled book deals with the process of creating images using raw noisy data from unknown sources such as a black hole, for example. This book arose out of the notes used for a graduate-level course on this topic for over two decad...
Dec 30 2022
Remote sensing image classification in R
Kamusoko C., Springer International Publishing, New York, NY, 2019. 189 pp. Type: Book
Today, artificial intelligence (AI) benefits many scientific fields, including Earth observation (EO). This is not new--machine learning met remote sensing in the early 70s. Since then, supervised classification has been exten...
Jul 12 2021
Assessing neural network scene classification from degraded images
Tadros T., Cullen N., Greene M., Cooper E. ACM Transactions on Applied Perception 16(4): 1-20, 2019. Type: Article, Reviews: (2 of 2)
One of the major problems faced by deep learning techniques--for example, deep convolutional neural networks (CNNs)--is uncontrolled behavior due to glitches in the input. For example, you can modify just a few pixels...
Mar 23 2021
Image processing techniques for detecting and classification of plant disease: a review
Hungilo G., Emmanuel G., Emanuel A. IMIP 2019 (Proceedings of the 2019 International Conference on Intelligent Medicine and Image Processing, Bali, Indonesia, Apr 19-22, 2019) 48-52, 2019. Type: Proceedings
For experienced farmers and biologists, detecting and identifying plant diseases is usually fairly straightforward: they are familiar with the most common problems related to their crops and can use visual inspection, possibly in combi...
Mar 9 2020
Assessing neural network scene classification from degraded images
Tadros T., Cullen N., Greene M., Cooper E. ACM Transactions on Applied Perception 16(4): 1-20, 2019. Type: Article, Reviews: (1 of 2)
Image processing and understanding human vision have shared interests and methods since the beginning of computer vision research. In recent years, deep learning and in particular convolutional neural networks (CNNs) have been applied ...
Nov 27 2019
Advances in soft computing and machine learning in image processing
Hassanien A., Oliva D., Springer International Publishing, New York, NY, 2018. 718 pp. Type: Book (978-3-319637-53-2)
Both soft computing techniques and machine learning algorithms have very important tasks in image processing applications. With the artificial intelligence (AI)-based applications emerging in the market today, image processing techniqu...
Jul 19 2018
Decomposing images into layers via RGB-space geometry
Tan J., Lien J., Gingold Y. ACM Transactions on Graphics (TOG) 36(1): 1-14, 2016. Type: Article
The notion of representing a color image as a set of translucent layers, each of a single (non-primary) color, is useful in the field of digital image painting. Although the layering is not present in the source image, and may or may n...
Jun 22 2018
A computational introduction to digital image processing (2nd ed.)
McAndrew A., Chapman & Hall/CRC, Boca Raton, FL, 2016. 551 pp. Type: Book (978-1-482247-32-9)
Many books have been published on digital image processing. Alasdair McAndrew’s
A computational introduction to digital image processing
is a relevant choice for all those who would like to enter the field from a pract...
Aug 3 2017
Digital image processing: an algorithmic introduction using Java (2nd ed.)
Burger W., Burge M., Springer International Publishing, New York, NY, 2016. 811 pp. Type: Book (978-1-447166-83-2)
This textbook is an excellent introduction to the fundamentals of digital image processing. It thoroughly blends basic theory and practical algorithms expressed in Java and ImageJ. It also provides a set of accessible exercises at the ...
Nov 9 2016
Computer vision: a reference guide
Ikeuchi K., Springer Publishing Company, Incorporated, New York, NY, 2014. 898 pp. Type: Book (978-0-387307-71-8)
An encyclopedia of machine vision, with thorough alphabetized articles on theories and technologies for image processing, modeling, classification, and understanding, is provided in this reference. From epipolar and Euclidian geometry ...
Jan 5 2016
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