Results 161 to 170 of about 399,904 (215)

Small but systematic bias introduced by EEG electrodes in PET imaging

Stöhrmann P, Ponce de León M, Dörl G, Milz C, Graf S, Eggerstorfer B, Reed M, Murgaš M, Falb P, Al Barede K, Nics L, Rasul S, Hacker M, Lanzenberger R, Hahn A.   +14 more
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A Review on Cornea Imaging and Processing Techniques

Current Medical Imaging Formerly Current Medical Imaging Reviews, 2020
Background: Measuring cornea thickness is an essential parameter for patients undergoing refractive Laser-Assisted in SItu Keratomileusis (LASIK) surgeries. Discussion: This paper describes about the various available imaging and non-imaging methods for identifying cornea thickness and explores the most optimal method for measuring it.
James Deva Koresh, Hezekiah, Shanty, Chacko   +1 more
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Image processing techniques for bone image analysis

Proceedings., International Conference on Image Processing, 2002
Features of human bones are useful to establish correlation between bone structure and age, and information about age-related bone diseases. This paper presents a new approach to quantitative analysis of cross sections of human bones using image processing techniques.
Zhi-Qiang Liu, Timothy J. Austin, D. Moore   +2 more
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Processing technique for ultrasound images

Medical & Biological Engineering & Computing, 1982
Ultrasound images are sometimes difficult to reproduce repeatedly and perfectly when operating a complicated instrument, especially in regard to the amplifier gain. Thus the logarithm-differential processing (l.d.p.) method described here is aimed at an improvement in the uniformity of the clinical information.
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Spectral reduction image processing techniques

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
Very high-resolution imagery (spatial or spectral) comes at a cost, large files for manipulation and the curse of dimensionality. To overcome these problems, it becomes necessary to reduce the spectral dimensionality of the data with a minimum loss of information. Several techniques will be examined in this paper.
Lori M. Bruce, Nicolas H. Younan, Roger L. King, Anil M. Cheriyadat   +3 more
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Image Processing Techniques and It

2019
Current era of image processing the field of computer science, digital image processing and so on the use of computer is major and the computer algorithm to perform the given tasks the cost of the processing is high computer equipments of those era the work of processing digital image processing is the use of computer algorithm computer algorithm to ...
D, Harshapradha, H, Damini D, Kavitha, Dr.   +2 more
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Post-processing techniques for radiometric images

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Images can be made in different spectral ranges, particularly in the microwave, infrared and visible part of the spectrum. Each of these images contains different information about the scene. The goal is to combine interesting information of different images in one image, so that a fast recognition of all relevant information is possible.
Stefan Siegenthaler, Marco Canavero, Axel Murk   +2 more
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Techniques of Image Processing

2020
In a computer vision application, images are normally ingested from their source, such as cameras, files stored on a computer disk, or streams from another application. In most cases, these input images are converted from one form into another. For example, we may need to resize, rotate, or change their colors.
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Processing Image Data by Hybrid Techniques

IEEE Transactions on Systems, Man, and Cybernetics, 1977
Transform-DPCM (hybrid) techniques are applied to image data processing. For achieving bandwidth reduction, sample selection (threshold or variance) and variable bit allocation are adopted. The hybrid process is compared with the two-dimensional transform method in terms of bit rate, mean-square error, and computational complexity.
K. R. Rao 0001, M. A. Narasimhan, W. J. Gorzinski   +2 more
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Electronic techniques for radiological image processing

Medical & Biological Engineering, 1969
A television image processing system for diagnostic radiology using the techniques of contrast enhancement, aperture correction, and highlight inversion is described together with a method for objectively evaluating its usefulness. The evaluation is done by comparing error rates of observers viewing a specially prepared set of chest radiographs through
G, Revesz, H, Kundel, C, Haas
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