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4th International Workshop on Parallel processing by Cellular Automata and Arrays, Parcella 1988

作者： Petkov, N. Int’l Lab. Image Processing and Computer Graphics Central Institute of Cybernetics and Information Processes Kurstr. 33 P.O. Box 1298 BerlinDDR-1086 Germany

ISBN: (纸本)9783540506478

A two-dimensional bit-level systolic array for running order statistics is presented. Both word-level and bit-level parallelism are employed. The array is extremely easy to implement in VLSI, because its cells are very small and simple. Since extensive pipe-lining is used at both word and bit level, the array can be operated at very high clock frequencies achieving very high throughputs. The algorithm delivers full running order statistics in time θ(n) and area θ[n(w+logn)] where n is the cardinality of the processed set and w is the word width of its elements. © by Akademie-Verlag Berlin 1989.

关键词： Systolic arrays

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Irregular Cellular Spaces: Supporting realistic spatial dynamic modeling over geographical databases

Irregular Cellular Spaces: Supporting realistic spatial dyna...

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10th Brazilian Symposium on GeoInformatics, GEOINFO 2008

作者： Carneiro, Tiago G.S. Câmara, Gilberto Maretto, Raian V. Computer Science Department Federal University Ouro Preto MG Brazil Image Processing Division National Institute for Space Research SP Brazil

This paper presents a new computational model for representing the Geographic Space concept, called Irregular Cellular Space, which main goal is supporting the development of multiscale spatially explicit dynamic models integrated to geographical databases. This model has been implemented in a modeling software platform named TerraME which has been used for the development of some interesting environmental dynamic models and form simulation of dynamic spatial patterns of change.

关键词： Dynamic models

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An Extension of Fuzzy C-Means Applied to Spot Recognition in images of Two-Dimensional Electrophoresis

An Extension of Fuzzy C-Means Applied to Spot Recognition in...

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Mexican International Conference on Artificial Intelligence, MICAI

作者： Marlon Dias Geancarlo Maydana Marilton de Aguiar Computer Graphics and Image Processing Research Group Federal University of Pelotas Pelotas Brazil

Proteomics is defined as the large-scale characterization of protein sets expressed in a cell or tissue. Lately, proteomics has been broadly using two-dimensional gel electrophoresis for its analysis. It consists of migration and separation of molecules, placed in a gel, according to the strength of an electric field. In order to see these proteins, it is necessary to use some kind of reagent of revelation, which ends up resulting in a two-dimensional profile of spots. Afterwards, this gel is scanned and produces an image, and then this image may be analyzed. Usually, there is noise in this kind of image. Thinking on it, this work presents a technique using Fuzzy Logics to find spots.

关键词： Proteins Clustering algorithms Proteomics Fuzzy logic Organisms Algorithm design and analysis Mathematical model

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INCREASING THE FEATURE SIZE IN HANDWRITTEN NUMERAL RECOGNITION TO IMPROVE ACCURACY

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SYSTEMS AND computerS IN JAPAN 1995年第8期26卷 35-44页

作者： WAKABAYASHI, T TSURUOKA, S KIMURA, F MIYAKE, Y Member Faculty of Engineering Mie University Tsu Japan 514 Furnitaka Kimura:received his B.E. and Ph.D. degrees in 1973 and 1978 respectively from Nagoya University where he was appointed a Research Associate the same year. He has been an Associate Professor at Mie University since 1983. He had been a Visiting Associate Professor at the University of Michigan Dearborn from 1989 to 1991. He has engaged in research on pattern recognition image processing computer graphics. He is a member of Institute of Information Processing Japan Institute of Medical Engineering Japan and Institute of Artificial Intelligence Japan. Members Yasuji Miyab:received his B.E. and Ph.D. degrees in 1957 and 1965 respectively from Nagoya University where he was appointed a Research Associate in 1965. He was appointed to a Lecturer in 1968 and an Associate Professor in 1969. He has been a Professor at Mie University since 1978. He has engaged in research on machine recognition of handwritten characters computer graphics and medical image processing. He is a member of Institute of Information Processing Japan Institute of Artificial Intelligence Japan Institute of Robotics Japan I.E.E.E. Japan and Institute of Simulation Japan.

The relationship between the recognition rate of handwritten numerals and the normality of the distribution of their features has been investigated experimentally with a large amount of data in various combinations of quantized orientations and regions. The recognition method is based on the histogram of local orientation of contours of each numeral. To obtain a more accurate orientation quantization, the effectiveness of the orientation quantization using the gray-scale gradient has also been investigated. The results show that: (1) to increase the dimensionality of features, it is better to increase the number of quantized orientations, keeping the number of regions small (e.g., 4 x 4 or 5 x 5);(2) in the same dimensionality, the better the normality of a feature distribution, the higher the recognition rate;(3) a quantization of orientations using gray scales is effective for normalizing a feature distribution;and (4) the filter processing in reduction of the number of quantization scales improves the normality and recognition rate. The recognition of handwritten numerals collected from actual posts were carried out by using the gray-scale local-orientation histogram (400 dimensions). A correct recognition rate of 99.18 percent (mean value) has been obtained.

关键词： CHARACTER RECOGNITION PATTERN RECOGNITION ZIP CODE RECOGNITION FEATURE EXTRACTION GRADIENT NORMALITY

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On Estimation Of 3D Hand Position Using Stereo Vision 19

On Estimation Of 3D Hand Position Using Stereo Vision

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19th International Conference on computers and Their Applications, CATA 2004

作者： Teruel, M.B. Kubushyna, O. El-Khater, R. Yfantis, E.A. Boyle, R. Computer Graphics and Image Processing Laboratory School of Computer Science University of Nevada Las Vegas Las VegasNV89154-4019 United States NASA Ames Research Center Moffett FieldCA94035-1000 United States

ISBN: (纸本)9781618395511

In this paper an approach for reconstructing the position of an object from a pair of stereo images that allows for a fast and effective hand tracking and 3D gesture reconstruction is presented. The algorithm will serve as a building block for more advanced tasks such as the reconstructing a complete 3D hand model from multiple views using feature extraction based on color and shape. Copyright © (2004) by the International Society for computers and Their Applications. All rights reserved.

关键词： Stereo image processing

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Extraction of human body skeleton based on silhouette images

Extraction of human body skeleton based on silhouette images

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2nd International Workshop on Education Technology and computer Science, ETCS 2010

作者： Ding, Jianhao Wang, Yigang Yu, Lingyun State Key Laboratory of CAD and CG Zhejiang University Hangzhou China Institute of Computer Graphics and Image Processing Hangzhou Dianzi University Hangzhou China Department of Mathematics and Computing Science University of Groningen Netherlands

ISBN: (纸本)9780769539874

Skeleton extraction is essential for general shape representation. A typical skeletonization algorithm should obtain the ability to preserve original object's topological and hierarchical properties. However, most of current methods are high memory cost, computationally intensive, and also require complex data structures. In this paper, we propose an efficient and accurate skeletonization method for the skeleton feature points extracted from human body based on silhouette images. First, the gradient of distance transform is used to detect critical points inside the foreground. Then, we converge and simplify critical points in order to generate the most important and elegant skeleton feature points. Finally, we present an algorithm which connects the skeleton feature points and estimates the position of skeleton joints. © 2010 IEEE.

关键词： Extraction

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Caustics of developable surfaces

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Frontiers of Information Technology & Electronic Engineering 2022年第3期23卷 479-487页

作者： Miklos HOFFMANN Imre JUHASZ Ede TROLL Institute of Mathematics and Computer Science Eszterhazy Karoly UniversityEger 3300Hungary Department of Computer Graphics and Image Processing University of DebrecenDebrecen 4010Hungary Department of Descriptive Geometry University of MiskolcMiskolc 3515Hungary

While considering a mirror and light rays coming either from a point source or from infinity,the reflected light rays may have an envelope,called a caustic *** this paper,we study developable surfaces as *** caustic surfaces,described in a closed form,are also developable surfaces of the same type as the original mirror *** provide efficient,algorithmic computation to find the caustic surface of each of the three types of developable surfaces(cone,cylinder,and tangent surface of a spatial curve).We also provide a potential application of the results in contemporary free-form architecture design.

关键词： Caustics Developable surface Reflected light rays Curve of regression

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Restoration-enhanced reversible information steganography network for CT images in the Internet of Medical Things

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IEEE Transactions on Instrumentation and Measurement 2025年

作者： Chen, Kai Chen, Yang Coatrieux, Gouenou Wu, Jiasong Coatrieux, Jean-Louis School of Cyber Science and Engineering Southeast University Nanjing210096 China Southeast University Nanjing210096 China IMT Atlantique Inserm LaTIM UMR1101 Brest29000 France Laboratoire Traitement du Signal et de L'Image Université de Rennes 1 RennesF-35000 France Centre de Recherche en Information Biomédicale Sino-francais Rennes35042 France National Institute for Health and Medical Research RennesF-35000 France Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing School of Computer Science and Engineering Southeast University Nanjing210096 China Jiangsu Key Laboratory of Molecular and Functional Imaging Department of Radiology Zhongda Hospital Southeast University Nanjing210009 China Ministry of Education Nanjing210096 China Ministry of Education Nanjing210096 China

Smart health and emotional care powered by the Internet of Medical Things (IoMT) are revolutionizing the healthcare industry by adopting several technologies related to multimodal physiological data collection, communication, intelligent automation, and efficient manufacturing. The security of medical images containing private patient information distributed in IoMT is of paramount importance in social communication, and guaranteeing their reliability has attracted widespread attention. Some existing medical image steganography methods fail to guarantee the original image's integrity, authenticity, and lossless restoration. To solve this problem, a restoration-enhanced reversible adaptive information steganography network, MediSR-Net, is proposed. Specifically, MediSR-Net consists of an analysis module and an encoding module. The image degradation-restoration strategy is exploited by the analysis module to improve the effectiveness of information embedding and perceptual field to reduce the error of pixel prediction. An information distillation and attention machine-based approach are adopted to achieve degradation-restoration of CT medical images at any scale and focus more on the degradation-restoration effect with small magnification factors. The encoding module is responsible for the embedding and extraction of privacy information. Ten state-of-the-art are compared with the MediSR-Net method concerning steganographic effect, embedding rate, distortion analysis, and prediction error. The qualitative and quantitative results demonstrate the effectiveness and superiority of MediSR-Net. © 1963-2012 IEEE.

关键词： Steganography

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Hierarchical top down enhancement of robust PCA 9th

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Joint IAPR 9th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2002 and 4th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2002

作者： Langs, Georg Bischof, Horst Kropatsch, Walter G. Pattern Recognition and Image Processing Group 183/2 Institute for Computer Aided Automation Vienna University of Technology Favoritenstr. 9 ViennaA-1040 Austria Institute for Computer Graphics and Vision TU Graz Inffeldgasse 16 2.OG GrazA-8010 Austria

ISBN: (纸本)3540440119

In this paper we deal with performance improvement of robust PCA algorithms by replacing regular subsampling of images by an irregular image pyramid adapted to the expected image content. The irregular pyramid is a structure built based on knowledge gained from the training set of images. It represents different regions of the image with different level of detail, depending on their importance for reconstruction. This strategy enables us to improve reconstruction results and therefore the recognition significantly. The training algorithm works on the data necessary to perform robust PCA and therefore requires no additional input. © Springer-Verlag Berlin Heidelberg 2002.

关键词： image enhancement

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Distortion-tolerance curve of the neocognitron with various structures, including pyramid

Distortion-tolerance curve of the neocognitron with various ...

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International Conference on Pattern Recognition

作者： T. Yamaguchi W.G. Kropatsch Institute of Image Processing and Computer Graphics Graz Austria Institute for Informatics University of Innsbruck Innsbruck Austria

The neocognitron is a neural model which can recognize a pattern even when it is shifted in position, changed in size, or distorted. However, the complexity of its structure and its algorithm makes it difficult to tune its parameters and to specify the detail of its structure. The characteristics of this model are measured as the relationship between the degree of distortion of the input and the tolerance of the model. Computational experiments show that the pyramid has a suitable structure for implementing a neocognitron, provided that the input has a relatively low spatial frequency.< >

关键词： Neural networks image processing Pattern recognition computer graphics Distortion measurement Marine vehicles computer networks Frequency image recognition image converters

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