检索结果-内蒙古大学图书馆

International Conference on Optical Instruments and Technology (OIT) - Optoelectronic Imaging and Processing Technology

作者： Gan, Jinrui Jing, Wenbo Wang, Xiaoman Changchun Univ Sci & Technol Coll Optoelect Engn Changchun 130022 Peoples R China Changchun Univ Sci & Technol Coll Elect & Informat Engn Changchun 130022 Peoples R China

ISBN: (纸本)9780819499639

The accuracy of the Shack-Hartmann wavefront sensor (SHWS) for measuring the distortion wavefront is mainly dependent upon the measurement accuracy of the centroid of the focal spot. Many methods have been presented to improve the accuracy of the wavefront centroid measurement, but most of them are based on a point of improvement. Propose a complete centroid optimization method. Based on analyzing background noise of the focal spot image, the method of adaptive threshold denoising is introduced, then the sub-aperture detection windows are optimized by modified watershed algorithm, and the centroid of the focal spot is calculated by the higher moment centroid algorithm in an optimized window, where the linear interpolation have been used. Simulation and experimental results showed that the centroid detection window could automatically adjust its size, matching perfect with spot distribution area, and the proposed method could reach high precision and repeatability of focal spot centroid in some certain SNR.

关键词： SHWS centroid detection error adaptive threshold watershed algorithm linear interpolation

来源：评论

学校读者我要写书评

暂无评论

Level Set-based CT Liver Image Segmentation with watershed and Artificial Neural Networks

Level Set-based CT Liver Image Segmentation with Watershed a...

引用

12th International Conference on Hybrid Intelligent Systems (HIS)

作者： Zidan, Abdalla Ghali, Neveen I. Hassanien, Aboul Ella Hefny, Hesham Cairo Univ Inst Stat Studies & Res Cairo Egypt Al Azhar Univ Fac Sci Cairo Egypt Cairo Univ Fac Comp & Informat Cairo Egypt

ISBN: (纸本)9781467351157;9781467351164

The objective of this paper is to evaluate a new combined approach intended for reliable CT liver image segmentation, to separate the liver from other organs, and segment the liver into a set of regions of interest (ROIs). The approach combines the level set with watershed approach used as post segmentation step to produce a reliable segmentation result. Features of first order statistics and grey-level co-occurrence matrix, are calculated and passed to an artificial neural network, to be trained and to classify infected regions. Filtering is used before the segmentation approach to enhance contrast, remove noise and emphasize certain features, as well as connecting ribs around the liver. To evaluate the performance of presented approach, we performed many tests on different CT liver images. The experimental results obtained, show that the overall accuracy offered by the proposed approach is 92.1% in segmenting CT liver images into set of regions even with noise, and 88.9% average accuracy for neural network classification.

关键词： Level set watershed algorithm filtering segmentation

来源：评论

学校读者我要写书评

暂无评论

Tongue-coating image segmentation based on combination of morphological gradient and watershed algorithms

引用

IMAGING SCIENCE JOURNAL 2011年第6期59卷 311-316页

作者： Zhang, L. Qin, J. Zeng, Y. J. Beijing Univ Technol Ctr Biomed Engn Beijing 100022 Peoples R China Guangdong Univ Technol Comp Fac Guangzhou 510006 Guangdong Peoples R China Sun Yat Sen Univ Affiliated Hosp 1 TCM Dept Guangzhou 510080 Guangdong Peoples R China

The segmentation of tongue-coating images is very important to computer-aided traditional Chinese medicine (TCM) clinic diagnosis system. By now, algorithms for this segmentation are in low-accuracy or high-complexity. Upon the edge-gradient feature of tongue-coating images, a new segmenting method is presented in this paper, which combines edge and region processing technologies. With the new method, the multi-scale morphological gradient images of the original images are taken firstly, and then watershed algorithm is used to segment them so that tongue-coating images are separated. The following experimental results show this method's effectiveness and efficiency.

关键词： watershed algorithm morphological gradient multi-scale

来源：评论

学校读者我要写书评

暂无评论

A method of automatic image segmentation for gas bubbles in water

引用

Journal of Harbin Institute of Technology(New Series) 2012年第4期19卷 31-36页

作者：刘波林焰王云龙 State Key Laboratory of Structural Analysis for Industrial Equipment School of Naval Architecture and Ocean EngineeringDalian University of Technology

This paper presents an algorithm of automatic bubble image segmentation using the improved ant colony optimization methodology. The ant colony optimization method is a metaheuristic algorithm, and has been applied in many fields. To reveal the versatility and appropriateness of automatic bubble image segmentation, the fuzzy clustering analysis method is employed in ant colony optimization algorithm. Compared with the well-known image feature extraction operators such as SUSAN and Canny, the proposed method can comparatively suitable to extract the gas bubbles image edge features. The experimental results show that the proposed method is effective and reliable, and can achieve satisfactory image edge extraction effect.

关键词： gas bubbles image segmentation ant colony algorithm fuzzy clustering analysis watershed algorithm

来源：评论

学校读者我要写书评

暂无评论

Interactive Image Segmentation Based on Grow Cut of Two Scale Graphs

Interactive Image Segmentation Based on Grow Cut of Two Scal...

引用

9th International Forum on Digital TV and Wireless Multimedia Communication, IFTC 2012

作者： Li, Xiaoqiang Chen, Jingsong Fan, Huafu Shanghai Univ Shool Comp Engn & Sci Shanghai Peoples R China Zhoukou Normal Univ Dept Math & Informat Sci Zhoukou Peoples R China

ISBN: (纸本)9783642345944

This paper proposes a novel interactive image segmentation algorithm based on the Grow Cut of two different scale graphs. Firstly, watershed algorithm based on color information has been used to partition the image into many different regions which will be considered as the cells of Grow Cut, instead of image pixels. Then a segmentation result can be obtained by using Grow Cut on the aforementioned regions. Finally an automatic edge correction can be used on the segmentation result by Grow Cut of pixel-scale graph. Because the number of nodes and edges for the Grow Cut algorithm is reduced by more than fifty times compared to the pixel based method, the running time of our proposed algorithm is much less than the original Grow Cut. The segmentation performance of our proposed is much better than the original Grow Cut. Experimental results on Berkeley image dataset demonstrated the effectiveness of proposed method.

关键词： Image segmentation Grow Cut watershed algorithm Automatic Edge Correction

来源：评论

学校读者我要写书评

暂无评论

Automated Detection of Fully and Partially Riped Mango by Machine Vision

Automated Detection of Fully and Partially Riped Mango by Ma...

引用

International Conference on Soft Computing for Problem Solving (SocProS 2011)

作者： Chhabra, Manish Gupta, Abhishek Mehrotra, Prateek Reel, Smarti Thapar Univ Elect & Commun Dept Patiala 147001 Punjab India Jaypee Univ Informat Tech Dept Elect & Commun Waknaghat 173234 Himachal Prade India

ISBN: (纸本)9788132204909

Mango quality assessment is important in meeting market requirements. The quality of the mango can be judge by its length, thickness, width, area, etc. In this paper on the basis of simple mathematical calculations different parameters of a number of mango are calculated. The present paper focused on the classification of mangoes using morphological Operations. A video containing mangoes hanging from the trees is made and used as the input to this algorithm. The video is read frame by frame and the within one frame morphological operations, watershed algorithm and analysis and segmentation are applied. The mango types used in this study were Ripe Mango, Unripe Mango. In this paper the application of neural network is used for assessment of mango. The contours of ripe and unripe mangoes have been extracted, precisely normalised and then used as input data for the neural network. The network optimisation has been carried out and then the results have been analysed in the context of response values worked out by the output neurons.

关键词： Mango Quality Assessment Image Recognition Feature Extraction Image Segmentation neural network watershed algorithm MATLAB GUI

来源：评论

学校读者我要写书评

暂无评论

Tongue-coating image segmentation based on combination of morphological gradient and watershed algorithms

引用

The Journal of Photographic Science 2011年第6期59卷 311-316页

关键词： watershed algorithm morphological gradient multi-scale

来源：评论

学校读者我要写书评

暂无评论

Skeleton Extraction algorithm of Plant Lein Based on watershed

Skeleton Extraction Algorithm of Plant Lein Based on Watersh...

引用

2011 Fourth International Conference on Intelligent Computation Technology and Automation(2011年第四届智能计算技术与自动化国际会议 ICICTA 2011)

作者： Xu Xiaohong Lin Shumin Zeng Qingmao Zhu Tonglin Research Institution of Agricultural Multimedia Technology South China Agricultural University SCAU College of Information South China Agricultural University SCAU Guangzhou China Research Institution of Agricultural Multimedia Technology South China Agricultural University SCAU Research Institution of Agricultural Multimedia Technology South China Agricultural University SCAU

Plant skeleton is a key geometrical of itself, it can reserve topology and shape information of the object, so it is easy to reconstruct the source form. In this paper, leaf vein skeleton extracting method based on watershed was proposed using images of leaves. Through it the mam vein and lateral vein of the leaf are extracted. Then use the morphology method like dilation and erosion to do the final post-processing to the skeleton of the leaf veins to obtain the skeleton of leaf veins, so it can provide the foundation for leaf surface modeling and leaves three-dimensional deformation of the visual modeling hi the future.

关键词： skeleton extraction watershed algorithm dilation and erosion

来源：评论

学校读者我要写书评

暂无评论

Discrete modeling of human body using preprocessing and segmentation techniques of medical images

引用

REVISTA INTERNACIONAL DE METODOS NUMERICOS PARA CALCULO Y DISENO EN INGENIERIA 2011年第3期27卷 200-226页

作者： Gavidia, G. Soudah, E. Martin-Landrove, M. Cerrolaza, M. Univ Politecn Cataluna CIMNE E-08028 Barcelona Spain Cent Univ Venezuela Inst Nacl Bioingn Caracas Venezuela Cent Univ Venezuela Ctr Fis Mol & Med Ctr Diagnost Docente Caracas Venezuela

The generation of anatomical models is one the most important concern to biomedical researchers as well as to medical doctors, due to needed to understand the human tissues. Is know that the soft tissues like heart, brain, prostate and hard tissues like jaw, bones, skull, etc are structures of complex morphologies, so, the anatomical models generation is not an easy and trivial task. Currently, this task has benefited of advances of imaging diagnostic, which permit obtain cross and longitudinal sections of human body. In this research, we describe a method to obtain 3D discrete models of human body given by a dataset of medical images. Five main modules were implemented in prototype software: (1) Reading and 3D reconstruction of Computerized Axial Tomography and Magnetic Resonance Images. (2) Preprocessing techniques for improve the low medical images quality by using enhancement algorithms to reduce image noise and to increase structures contrast. (3) Combined segmentation techniques for tissue identification, which were applied through a multi-stage approach. (4) Post processing techniques to improve segmented volumes and (5) Exportation task of volumes to readable formats by Computer Aided Design (CAD) tools to be later analyzed by numerical methods. The performance of our method is shown on several medical examples and the techniques were validated using statistical descriptors to compare our models with models from free databases. Results showed that the implemented techniques generate precise and useful models for numerical analysis and medical survey, planning and surgery in a short processing time. (C) 2010 CIMNE (UPC). Published by Elsevier Espana, S.L. All rights reserved.

关键词： Digital Image Processing Medical Imaging Preprocessing Image noise reduction Anisotropic diffusion Filter Segmentation Regions growing algorithm watershed algorithm Level Set algorithm Modeling geometric tissue Statistical Descriptors Numerical Analysis Numerical Methods

来源：评论

学校读者我要写书评

暂无评论

COMPARISON OF TWO ACADEMIC SOFTWARE PACKAGES FOR ANALYZING TWO-DIMENSIONAL GEL IMAGES

引用

JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY 2011年第6期9卷 775-794页

作者： Wu, Yukun Zhang, Le Univ Maryland Ctr Vaccine Dev Sch Med Baltimore MD 21201 USA Michigan Technol Univ Dept Math Sci Houghton MI 49931 USA

One of the key limitations for proteomic studies using two-dimensional (2D) gel is the lack of automatic, fast, robust, and reliable methods for detecting, matching, and quantifying protein spots. Although there are commercial software packages for 2D gel image analysis, extensive human intervention is still needed for spot detection and matching, which is time-consuming and error-prone. Moreover, the commercial software packages are usually expensive and non-open source. Thus, it is very beneficial for researchers to have free software that is fast, fully automatic, and robust. In this paper, we review and compare two recently developed and publicly available software packages, RegStatGel and Pinnacle, for analyzing 2D gel images. These two software packages share some common features and also have some fundamental difference in the aspects of spot detection and quantification. Based on our experience, RegStatGel is much better in terms of spot detection and matching. It also contains more advanced statistical tools and is more user-friendly. In contrast, Pinnacle is quite sensitive to background noise and relies on external statistical software packages for statistical analysis.

关键词： Gel images proteomic studies watershed algorithm image processing 2DE

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：