Results 61 to 70 of about 369,404 (116)

Adaptive Image Processing Techniques

SPIE Proceedings, 1988
Adaptive image processing schemes can be classified as open-loop, input sensing, invariant-expectation, and model reference systems. Two major adaptive image processing system mechanisms, processing status measurement and parameter adjustment, are described and a multi-resolution approach is developed.
James S. Lee, Paul V. Budak, Charlotte R. Lin, Robert M. Haralick   +3 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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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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Image processing techniques for laser images

Proceedings of 1996 Canadian Conference on Electrical and Computer Engineering, 2002
This paper presents the signal processing method of laser images used for detection of small collinear obstacles in helicopter airborne applications. It is very difficult, if not almost impossible, for a regular passive imaging sensor based on CCD detectors to detect such small, remote objects.
I. Saban, S. Faibish
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Quantum Techniques for Image Processing

2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), 2020
Quantum computing is revolutionizing every field of knowledge. With advent of affordable quantum computing almost possible the importance and relevance of quantum computing for all the recent research trends cannot be overemphasized. We have already witnessed quantum analogues of most celebrated classical algorithms starting from Shor’s algorithm for ...
Arti Ranjan, Ashish K. S. Arya, M. Ravinder   +2 more
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Image Processing Techniques

Image processing techniques are the basic building blocks of many image processing applications where images will be processed in order to extract important information. There are many techniques which can be used to process the ‘n’ images, identifying different patterns, segmentation, transforming images into desired formats etc.
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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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Nonlinear Image Processing Techniques

2009
This chapter contains sections titled: Nonlinear Spatial Filters Based on Order Statistics Nonlinear Mean Filters Adaptive Filters The Homomorphic Filter ]]>
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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.
L.M. Bruce, N.H. Younan, R.L. King, A. Cheriyadat   +3 more
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Imaging Techniques and Processes

1980
Two important imaging processes undertaken in radiography are subtraction and duplication and these will be discussed. Furthermore, the dividing line between radiographic technique and radiographic photography is indistinct and important imaging principles are involved in certain techniques which up to now have either not been mentioned or only briefly
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