Results 261 to 270 of about 649,537 (305)

An approach to the interpretation of aerial image

2010 International Conference on Machine Learning and Cybernetics, 2010
This paper presents an aerial image parsing approach. Firstly, scene categories of aerial image is extracted based on global feature-Spatial Envelope in the top-down step; secondly, the candidate proposals of object categories is classified in bottom-up step; finally, the bottom-up proposals are verified by top-down cues, and the parsing graph of the ...
Ling-Ling Li, Taisong Jin, Hua Shi, Cuihua Li   +3 more
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Interpreting Artworks, Interpreting Scientific Images

Leonardo, 2015
The author aims to compare the ways we interpret images in art and in science. The author suggests that, in art studies, analogy is often used, whereas in natural sciences, researchers appeal to abduction. To illustrate this assumption, she uses some critical texts about Yves Klein’s Anthropometries, as well as some ethnographic reports of scientists’
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Enhanced Interpretation of Diagnostic Images

Investigative Radiology, 1988
In radiology, as in various other fields, observers study images to detect and diagnose underlying conditions. They make assessments of several image features and merge them into an overall decision. Demonstration is given here, in the context of mammography, that objective aids to this interpretative process can substantially improve accuracy, even ...
D J, Getty, R M, Pickett, C J, D'Orsi, J A, Swets   +3 more
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Intravascular ultrasound image interpretation

Proceedings of 13th International Conference on Pattern Recognition, 1996
In this study, statistical and fractal texture analysis was used to assess the ability of 30 MHz intravascular ultrasound (IVUS) data, in raw and scan-converted form, to characterise atherosclerotic plaque. Data from 3 different plaque groups was assessed in the study: 1) loose fibrotic tissue; 2) dense fibrotic tissue; and 3) calcium.
William H. Nailon, Steve McLaughlin 0001, Timothy Spencer, M. Pauliina Ramo   +3 more
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Learning Interpretable Representations of Images [PDF]

, 2019
Computers represent images with pixels and each pixel contains three numbers for red, green and blue colour values. These numbers are meaningless for humans and they are mostly useless when used directly with classical machine learning techniques like linear classifiers.
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The interpretation of a moving retinal image

Proceedings of the Royal Society of London. Series B. Biological Sciences, 1980
Abstract It is shown that from a monocular view of a rigid, textured, curved surface it is possible, in principle, to determine the gradient of the surface at any point, and the motion of the eye relative to it, from the velocity field of the changing retinal image, and its first and second spatial derivatives.
H C, Longuet-Higgins, K, Prazdny
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Interpreting visual images, individually

Trends in Cognitive Sciences, 2002
Visual images seem picture-like, but is this epiphenomenal or does it reflect a functional aspect of how they are represented in the brain? Visualising ambiguous pictures – those with more than one interpretation – provides one method for examining this issue.
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Learning to interpret medical images

Proceedings IEEE International Symposium on Biomedical Imaging, 2003
Statistical shape and appearance models are proving valuable tools for medical image analysis. In this paper we outline the methodology and highlight important recent developments. In particular, we consider an extension to images of differing modality, and describe an optimisation approach to establishing correspondences across a training set of ...
Christopher J. Taylor 0001, Timothy F. Cootes, Rhodri H. Davies, Carole J. Twining   +3 more
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Learning paradigms for image interpretation

Spatial Vision, 2000
In this paper we discuss image understanding and object recognition as a class of processes which involve binding what is seen with what is known. It follows from this perspective that it is important to explicate how systems may learn about spatial information from images, how it is encoded, and, how, in turn, such knowledge is matched with new image ...
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Medical images and automated interpretation

Journal of Biomedical Engineering, 1988
The application of automated interpretation to medical images is discussed and the main methods of medical imaging are briefly described. The factors behind the process of human clinical interpretation are also considered. Because human interpretation can be aided by processing of the raw image, the standard methods of image processing are mentioned ...
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