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International Symposium on Information and Automation (ISIA 2010)

作者： Wu, Peng Lv, Huijuan Shen, Shilei Henan Univ Ctr Comp Kaifeng Peoples R China

ISBN: (纸本)9783642198526

Edge being one of the most basic features of image, the features of it have important uses in computer image processing, and are widely employed in feature extraction, image recognition and other fields. This paper first introduces several major traditional and modern feature detections of edges, analyzes their respective advantages and disadvantages;and then conducts an analysis and research of the development trends of edge detection.

关键词： Features of the Edge computer image processing Operator

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A stereo inspecting detection system based on electronic imaging and computer image processing

A stereo inspecting detection system based on electronic ima...

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20th Congress of the International-Commission-for-Optics

作者： Lu, D Lu, ZH Wang, AG Cao, M Changchun Univ Sci & Technol Changchun Peoples R China Jilin Grain Coll Jilin Peoples R China

ISBN: (纸本)0819460583

This paper introduces a internal flaws detected system. The internal flaws of metal tube or internal hole of mechanical device, such as crazing, rust-eaten and dropping of electroplated coating. By using xenon-light as a light source through the fiber bundle, the internal surface of tube is illuminated and imaged on the CCD optical receiver by endoscope, Then the direction and the size of the flaws are measured after processed by the imaging grab section and computer processing system. This system also can detect the pose water pipe of the aircrafts, the firebox of the aero engine, turbine and lamina which can not be viewed and detected nearly by human eye. It can measure their redundancy and size of internal flaws.

关键词： computer image processing endoscope flaws detector

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Intelligent processing of computer image Recognition Application Analysis

Intelligent Processing of Computer Image Recognition Applica...

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IEEE Workshop on Electronics, computer and Applications (IWECA)

作者： Lai, Honghui Zhong, Juan Huang, Ying Gannan Med Univ Fac Informat Engn Ganzhou Jiangxi Peoples R China Gannan Med Univ Fac Math & Comp Ganzhou Jiangxi Peoples R China

ISBN: (纸本)9781479945658

computer image processing technology is mainly to research how to use the computer to complete the basic theories and methods of image information processing. At present, in medical diagnosis, industrial automation detection, intelligent robot, traffic, communication, geology and other fields, the computer image processing technology has been widely used. This paper proposes a novel shape recognition method by making full use of the existing computer image processing technology.

关键词： computer image processing Shape defects Edge detection Neural network

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2dx -: User-friendly image processing for 2D crystals

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JOURNAL OF STRUCTURAL BIOLOGY 2007年第1期157卷 64-72页

作者： Gipson, Bryant Zeng, Xiangyan Zhang, Zi Yan Stahlberg, Henning Univ Calif Davis Davis CA 95616 USA

Electron crystallography determines the structure of two-dimensional (2D) membrane protein crystals and other 2D crystal systems. Cryotransmission electron microscopy records high-resolution electron micrographs, which require computer processing for three-dimensional structure reconstruction. We present anew software system 2dx, which is designed as a user-friendly, platform-independent software package for electron crystallography. 2dx assists in the management of an image-processing project, guides the user through the processing of 2D crystal images, and provides transparence for processing tasks and results. Algorithims are implemented in the form of script templates reminiscent of c-shell scripts. These templates can be easily modified or replaced by the user and can also execute modular stand-alone programs from the MRC software or from other image processing software packages. 2dx is available under the GNU General Public License at ***. (c) 2006 Elsevier Inc. All rights reserved.

关键词： 2dx software electron crystallography 2D crystals membrane protein structure determination computer image processing MRC software

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Research on Virtual Reality image processing System Based on Medical Platformaper 3

Research on Virtual Reality Image Processing System Based on...

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3rd IEEE International Conference on Progress in Informatcs and Computing (IEEE PIC)

作者： Gang, ZhaoZhe Peng, WeiMin Zhang, XueFeng Shi, XiaoYing Hangzhou Dianzi Univ Sch Comp Sci & Technol Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9781467390880

Survey on published authoritative journals show that the global incidence ratio of acrophobia from 2014 Frdrikson is 6.3% for males and 8.6% for females, indicating that acrophobia has become a globally recognized disorder disease. Including heights specific phobia treatment is an important tool in acrophobia treatment. Especially, the exposure therapy is very effective in the actual scenes of terror down to reduce the horrors. For the exposure therapy, we use computer image of the virtual reality system to reproduce the scene in the height of suspension bridge and virtual reality exposure effect of the transparent elevator. Results show that, there is not obvious difference between two treatment conditions, which indicates that the virtual reality model is effective to use and may gradually replace the on-the-spot feeling in the field.

关键词： Virtual reality dome screen exposure therapy computer image processing optical processing

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Grading Method of Crop Disease Based on image processing

Grading Method of Crop Disease Based on Image Processing

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5th International Conference on computer and Computing Technologies in Agriculture (CCTA)

作者： Tian, Youwen Wang, Lide Zhou, Qiuying Shenyang Agr Univ Coll Informat & Elect Engn Shenyang Peoples R China

ISBN: (纸本)9783642272776

At present, in the crop disease harm degree is graded mainly by measure with the eye or paper cut primarily, which is greatly influenced by subjective factors, and results in obvious error. For improvement on identification precision of crop disease, this paper developed a new crop disease grading method based on computer image processing. image preprocessing, segmentation and statistical calculation were applied effectively in this study. According to crop disease harm degree and classification standard, the crop disease harm degree was determined by computing the proportion of sickness spot area and the normal area on the leaf. The experiment results indicated that the identification accuracy was greatly improved, the grading time and costs is reduced by the manual evaluation, providing accurate data for the study of the crop's other aspects and has a broad prospect for application.

关键词： computer image processing crop disease grading grading system

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SAR image despeckling based on edge detection and nonsubsampled second generation bandelets

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Journal of Systems Engineering and Electronics 2009年第3期20卷 519-526页

作者： Zhang Wenge~(1,2),Liu Fang~(1,2),Jiao Licheng~(2,3)& Gao Xinbo~(2,3) 1.School of computer Science and Technology,Xidian Univ.,Xi’an 710071,P.R.China 2.Key Lab.of Intelligent Perception and image Understanding of Ministry of Education of China,Xi’an 710071,P.R.China 3.Inst,of Intelligent Information processing,Xidian Univ.,Xi’an 710071,P.R.China School of Computer Science and Technology Xidian Univ. Xi'an 710071 P. R. China Key Lab. of Intelligent Perception and Image Understanding of Ministry of Education of China Xi'an 710071 P. R. China Key Lab. of Intelligent Perception and Image Understanding of Ministry of Education of China Xi'an 710071 P. R. China Inst. of Intelligent Information Processing Xidian Univ. Xi'an 710071 P. R. China

To preserve the sharp features and details of the synthetic aperture radar （SAR） image effectively when despeckling, a despeckling algorithm with edge detection in nonsubsampled second generation bandelet transform （NSBT） domain is proposed. First, the Canny operator is utilized to detect and remove edges from the SAR image. Then the NSBT which has an optimal approximation to the edges of images and a hard thresholding rule are used to approximate the details while despeckling the edge-removed image. Finally, the removed edges are added to the reconstructed image. As the edges axe detected and protected, and the NSBT is used, the proposed algorithm reaches the state-of-the-art effect which realizes both despeckling and preserving edges and details simultaneously. Experimental results show that both the subjective visual effect and the mainly objective performance indexes of the proposed algorithm outperform that of both Bayesian wavelet shrinkage with edge detection and Bayesian least square-Gaussian scale mixture （BLS-GSM）.

关键词： computer image processing synthetic aperture radar speckle edge detection nonsubsampled second generation bandelet transform Canny operator threshold shrinkage.

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Microstructure-property relationship in B₄C-βSiC materials

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SOLID STATE IONICS 1997年第pt 2期101卷 953-958页

作者： Gorny, G Raczka, M Stobierski, L Wojnar, L Pampuch, R Stanislaw Staszic Univ Min & Met PL-30059 Krakow Poland Cracow Univ Technol PL-31155 Krakow Poland

The microstructure-property relationships have been studied in B4C-beta SiC materials for boron contents from 0 to 30 wt.% (corresponding to a range from 0 to about 45 vol.% of B4C). The materials were produced by sintering or hot-pressing of composite B-Si-C powders synthesized by solid combustion. In order to characterise the microstructure quantitatively, observations of polished sections of the materials, etched by potassium salts, were made by using the scanning electron microscopy, After binarisation, the data were eventually subjected to image processing. For both coexisting phases (beta SiC and B4C) the distribution and mean values of the following microstructural parameters were determined: grain area, grain aspect ratio and grain dimensions. The electrical resistivity and bending strength were also determined for the materials characterised microstructurally.

关键词： composite materials SHS computer image processing quantitative microstructural parameters

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QUANTITATIVE MORPHOLOGY AND SHAPE CLASSIFICATION OF NEURONS BY computerIZED image-ANALYSIS

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computer METHODS AND PROGRAMS IN BIOMEDICINE 1993年第2期41卷 89-99页

作者： MASSEROLI, M BOLLEA, A FORLONI, G IST RIC FARMACOL MARIO NEGRI I-20157 MILANITALY

We describe a new image processing method for semiautomatic quantitative-analysis of neuronal morphology. It has been developed in a specific image analysis environment (IBAS 2.0), but the algorithms and the methods can be employed elsewhere. The program is versatile and allows the analysis of histological preparations of different quality on the basis of different levels of evaluation and image extraction. Some significant algorithms have been implemented (i.e. one for multiple focus image acquisition and one for automatic cell body shape recognition and classification). A wide set of specific morphological parameters has been defined to allow a better mathematical characterization of neuronal morphology as regards both dendrite trees and cell bodies. Cell bodies' shapes can be classified automatically, defining different neuronal populations. This is done by evaluating the number of main dendrites and perykaria shapes through a multi-valued-decision-tree based method, tested on somatostatin-positive cells in mouse brain. The methods presented have been applied to analysis of neurons, but they can well be used for any quantitative morphological study of other cell populations.

关键词： MORPHOMETRIC EVALUATION QUANTITATIVE ANALYSIS BIOimage ANALYSIS computer image processing IBAS

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Grading Method of Crop Disease Based on image processing

Grading Method of Crop Disease Based on Image Processing

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computer and Computing Technologies in Agriculture V——5th IFIP TC 5/SIG 5.1 Conference(CCTA2011) Part II

作者： Youwen Tian Lide Wang Qiuying Zhou College of Information and Electric Engineering Shenyang Agricultural University

ISBN: (纸本)9783642272776

At present,in the crop disease harm degree is graded mainly by measure with the eye or paper cut primarily,which is greatly influenced by subjective factors,and results in obvious *** improvement on identification precision of crop disease,this paper developed a new crop disease grading method based on computer image *** preprocessing,segmentation and statistical calculation were applied effectively in this *** to crop disease harm degree and classification standard,the crop disease harm degree was determined by computing the proportion of sickness spot area and the normal area on the *** experiment results indicated that the identification accuracy was greatly improved,the grading time and costs is reduced by the manual evaluation,providing accurate data for the study of the crop's other aspects and has a broad prospect for application.

关键词： computer image processing crop disease grading grading system

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