检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

2,416 篇 会议
171 册 图书
74 篇 期刊文献
3 篇 学位论文

馆藏范围

2,664 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,669 篇 工学
- 1,326 篇 计算机科学与技术...
- 535 篇 软件工程
- 438 篇 电气工程
- 321 篇 信息与通信工程
- 169 篇 生物工程
- 159 篇 控制科学与工程
- 152 篇 光学工程
- 136 篇 生物医学工程（可授...
- 82 篇 电子科学与技术（可...
- 58 篇 机械工程
- 58 篇 仪器科学与技术
- 31 篇 网络空间安全
- 26 篇 材料科学与工程（可...
- 26 篇 动力工程及工程热...
- 25 篇 化学工程与技术
- 24 篇 安全科学与工程
701 篇 理学
- 446 篇 物理学
- 186 篇 生物学
- 161 篇 数学
- 39 篇 化学
- 36 篇 统计学（可授理学、...
- 22 篇 系统科学
251 篇 医学
- 219 篇 临床医学
- 77 篇 基础医学(可授医学...
- 45 篇 药学(可授医学、理...
- 28 篇 公共卫生与预防医...
173 篇 管理学
- 105 篇 管理科学与工程(可...
- 75 篇 图书情报与档案管...
- 28 篇 工商管理
27 篇 农学
- 27 篇 作物学
22 篇 法学
16 篇 教育学
6 篇 经济学
6 篇 文学
1 篇 哲学
1 篇 军事学

主题

393 篇 artificial neura...
381 篇 neural networks
287 篇 convolutional ne...
260 篇 image processing
251 篇 artificial intel...
218 篇 deep learning
192 篇 feature extracti...
151 篇 training
115 篇 image segmentati...
108 篇 accuracy
104 篇 pattern recognit...
95 篇 machine learning
91 篇 image classifica...
83 篇 computer vision
82 篇 image recognitio...
76 篇 neurons
74 篇 computational mo...
71 篇 neural network
61 篇 information syst...
60 篇 image processing...

机构

7 篇 częstochowa univ...
6 篇 chongqing univer...
6 篇 chitkara univers...
6 篇 king saud univer...
6 篇 hefei university...
6 篇 agh university o...
6 篇 information syst...
6 篇 south china norm...
6 篇 harbin institute...
5 篇 lovely professio...
5 篇 university of ca...
5 篇 democritus unive...
5 篇 department of ma...
4 篇 school of comput...
4 篇 department of ma...
4 篇 univ chinese aca...
4 篇 razak faculty of...
4 篇 school of comput...
4 篇 department of ma...
4 篇 department of co...

作者

12 篇 eyas el-qawasmeh
9 篇 de-shuang huang
9 篇 ryszard tadeusie...
9 篇 marcin korytkows...
9 篇 leszek rutkowski
8 篇 jacek m. zurada
8 篇 azizah abd manaf
8 篇 lazaros iliadis
7 篇 rafał scherer
7 篇 lopez-rubio ezeq...
6 篇 haijun zhang
6 篇 tianyong hao
6 篇 jagdish chand ba...
6 篇 zhou wu
6 篇 kedar nath das
6 篇 zhao zhang
6 篇 gelenbe e
6 篇 kusum deep
5 篇 włodzisław duch
5 篇 duoqian miao

语言

2,462 篇 英文
166 篇 其他
30 篇 中文
22 篇 土耳其文
1 篇 西班牙文
1 篇 日文

检索条件"任意字段=Conference on Applications of Artificial Neural Networks in Image Processing II"

共 2664 条记录，以下是1871-1880 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

WITA — Application for wound analysis and management

WITA — Application for wound analysis and management

引用

International conference on e-health Networking, applications and Services (HealthCom)

作者： Damir Filko Davor Antonić Dubravko Huljev Faculty of Electrical Engineering University of Josip Juraj Strossmayer Osijek Croatia Department of plastic surgery OR Sveti Duh Zagreb Croatia

Wound characterization is important task in chronic wounds treatment, because changes of the wound size and tissue types are indicators of the healing progress. Developed color image processing software analyze digital wound image and based on learned tissue samples performs tissue classification. Implemented statistical pattern recognition algorithm classifies individual pixels of the wound image based on color information. Classification parameters were learned from examples presented to the application during the learning process. Results of the analysis contain the wound image represented in pseudo colors as well as percentage of tissue types within the wound area. Accompanied database stores all relevant wound information. Stored information makes possible qualitative and quantitative tracking of wound healing process, which gives the clinician necessary information to evaluate and adjust used therapy.

关键词： Medical treatment Portals artificial neural networks Biomedical imaging Wounds History Databases

来源：评论

学校读者我要写书评

暂无评论

Co-parent selection for fast region merging in pyramidal image segmentation

Co-parent selection for fast region merging in pyramidal ima...

引用

Workshops on image processing Theory, Tools and applications, IPTA

作者： Milos Stojmenovic Andres Solis-Montero Amiya Nayak University of Ottawa Canada

The goal of image segmentation is to partition an image into regions that are internally homogeneous and heterogeneous with respect to other neighbouring regions. We build on the pyramid image segmentation work by making a more efficient method by which children chose parents within the pyramid structure. Instead of considering only four immediate parents each child node considers the neighbours of its candidate parent, and the candidate parents of its neighbouring nodes in the same level. In this paper, we also introduce the concept of a co-parent node for possible region merging at the end of each iteration. The new parents of the former children are co-parent candidates as if they are similar. The co-parent is chosen to be the one with the largest receptive field among candidate co-parents. Each child then additionally considers one more candidate, the co-parent of the previous parent. Other steps in the algorithm, and its overall layout, were also improved. The new algorithm is tested on a set of images. Our algorithm is fast (produces segmentations within seconds), results in the correct segmentation of elongated and large regions, very simple compared to plethora of existing algorithms, and appears competitive in segmentation quality with the best publicly available implementations. The major improvement over is that it produces visually appealing results at earlier levels of pyramid segmentation, and not only at the top one.

关键词： image segmentation artificial neural networks Pixel

来源：评论

学校读者我要写书评

暂无评论

Precise 2-step segmentation of corrupted characters in License Plate Recognition applications

Precise 2-step segmentation of corrupted characters in Licen...

引用

International conference on Signal processing Proceedings (ICSP)

作者： A. Nima Sedaghat Hamidreza Amindavar Electrical Engineering Department Amirkabir University of Technology Tehran Iran

image-based License Plate Recognition (LPR) algorithms are the core modules of many Intelligent Transportation Systems (ITS). Different algorithms and approaches have been proposed so far. All of these methods have the following three steps in common: License Plate Localization, Character Segmentation & Character Recognition. There are many real-world issues encountered during the design of each step, including different plate formats, time-variant illumination conditions and etc. To have a reliable operator-free system, all of these need to be overcome. One of such issues which is the main focus of this article and so far has not been addressed in any previous work is the presence of characters corrupted by misplaced rivets/screws. In this paper we present a simple, yet effective technique based on traditional pattern matching methods which when combined with modern character recognition techniques, can bring up the success rates of current systems closer to 100%.

关键词： Character recognition Licenses image segmentation Shape Fasteners image recognition artificial neural networks

来源：评论

学校读者我要写书评

暂无评论

Fusing shrinking and expanding active contour models for robust iris segementation

Fusing shrinking and expanding active contour models for rob...

引用

International Symposium on Signal processing and Its applications (ISSPA)

作者： Kien Nguyen Clinton Fookes Sridha Sridharan Image and Video Research Laboratory Queensland University of Technology Brisbane QLD Australia

The performance of iris recognition systems is significantly affected by the segmentation accuracy, especially in non-ideal iris images. This paper proposes an improved method to localise non-circular iris images quickly and accurately. Shrinking and expanding active contour methods are consolidated when localising inner and outer iris boundaries. First, the pupil region is roughly estimated based on histogram thresholding and morphological operations. Thereafter, a shrinking active contour model is used to precisely locate the inner iris boundary. Finally, the estimated inner iris boundary is used as an initial contour for an expanding active contour scheme to find the outer iris boundary. The proposed scheme is robust in finding exact the iris boundaries of non-circular and off-angle irises. In addition, occlusions of the iris images from eyelids and eyelashes are automatically excluded from the detected iris region. Experimental results on CASIA v3.0 iris databases indicate the accuracy of proposed technique.

关键词： artificial neural networks Legged locomotion Biological system modeling image segmentation Morphology

来源：评论

学校读者我要写书评

暂无评论

A genetic algorithm-neural network approach for Mycobacterium tuberculosis detection in Ziehl-Neelsen stained tissue slide images

A genetic algorithm-neural network approach for Mycobacteriu...

引用

International conference on Intelligent Systems Design and applications (ISDA)

作者： M. K. Osman F. Ahmad Z. Saad M. Y. Mashor H. Jaafar Faculty of Electrical Engineering Universiti Teknologi MARA Permatang Pauh Penang Malaysia Electronic & Biomedical Intelligent Systems (EBItS) Research Group School of Mechatronic Engineering Universiti Malaysia Pedis Arau Perlis Malaysia Department of Pathology School of Medical Science Universiti Sains Islam Malaysia Kelantan Malaysia

This paper describes a method using image processing and genetic algorithm-neural network (GA-NN) for automated Mycobacterium tuberculosis detection in tissues. The proposed method can be used to assist pathologists in tuberculosis (TB) diagnosis from tissue sections and replace the conventional manual screening process, which is time-consuming and labour-intensive. The approach consists of image segmentation, feature extraction and identification. It uses Ziehl-Neelsen stained tissue slides images which are acquired using a digital camera attached to a light microscope for diagnosis. To separate the tubercle bacilli from its background, moving k-mean clustering that uses C-Y colour information is applied. Then, seven Hu's moment invariants are extracted as features to represent the bacilli. Finally, based on the input features, a GA-NN approach is used to classify into two classes: `true TB' and `possible TB'. In this study, genetic algorithm (GA) is applied to select significant input features for neural network (NN). Experimental results demonstrated that the GA-NN approach able to produce better performance with fewer input features compared to the standard NN approach.

关键词： image color analysis Microscopy artificial neural networks Feature extraction image segmentation Training Gallium

来源：评论

学校读者我要写书评

暂无评论

Automatic contact detection in side-scan sonar data

Automatic contact detection in side-scan sonar data

引用

IEEE conference on Technologies for Homeland Security

作者： Rebecca T. Quintal John E. Kiernan John Shannon Paul S. Dysart Marine Science and Technology Division Science Applications International Corporation Newport RI USA Ocean Sciences Division Science Applications International Corporation Arlington VA USA

Side-scan sonar is a proven tool for detection of underwater objects, particularly those objects that project above the seafloor. Rapid assessment of side-scan imagery for object detection is critical for port security needs. However, current side-scan data processing techniques are largely manual, highly time-consuming, and prone to operator error. Availability of well-trained analysts is also a challenge. This article describes a research and development effort at Science applications International Corporation to automate side-scan sonar contact detection for safety of navigation surveys. Included in the development effort are innovative image processing and machine learning techniques designed to reduce the number of false alarms. These automated techniques are directly applicable to port security operations.

关键词： Book reviews artificial neural networks Clutter Sonar detection Software Sonar navigation

来源：评论

学校读者我要写书评

暂无评论

Measurement of the principal singular point in contact and contactless fingerprint images by using computational intelligence techniques

Measurement of the principal singular point in contact and c...

引用

IEEE International conference on Computational Intelligence for Measurement Systems and applications (CIMSA)

作者： Ruggero Donida Labati Angelo Genovese Vincenzo Piuri Fabio Scotti Department of Information Technologies Università degli Studi di Milano Milan Italy

Biometric systems identify individuals by comparison of the individual biometric traits, such as the fingerprint patterns. In the literature, many relevant methods are based on the localization of a reference “pivot” point of the fingerprint, called principal singular point (PSP). Most of the time, the PSP is selected from the list of the estimated singular points (SPs) that are identified by specific local patterns of the fingerprint ridges, called cores and deltas. The challenge is to provide an automatic method capable to select the same PSP from different images of the same fingertip. In this paper, we propose a technique that estimates the position of all the singular points by processing the global structure of the ridges and extracting a specific set of features. The selection of the reference point from the candidate list is then obtained by processing the extracted features with computational intelligence classification techniques. Experiments show that the method is accurate and it can be applied on contact and contact-less image types.

关键词： artificial neural networks Estimation Feature extraction Accuracy Computational intelligence Training Pixel

来源：评论

学校读者我要写书评

暂无评论

A non-reference perceptual quality metric based on visual attention model for videos

A non-reference perceptual quality metric based on visual at...

引用

International Symposium on Signal processing and Its applications (ISSPA)

作者： Fahad Fazal Elahi Guraya Ali Shariq Imran Yubing Tong Faouzi Alaya Cheikh Gjovik University College Gjovik Norway Universite de Saint-Etienne France

The Human Visual System (HVS) tends to focus on specific regions of viewed images or video frames, this is done effortlessly, instantly and unconsciously. These are called salient regions and form a saliency map, which could be used to improve a number of image and video processing techniques. In this paper, we propose a novel non-reference objective video quality metric based on the saliency map to improve the estimation of the perceived video quality. This metric estimates the degree of blur and blockiness in each video frame from the impaired video only, and uses it with the saliency map to derive a weighting function. The latter is used to modulate the contribution of the pixel differences to the final quality score. The salient regions of the videos are automatically computed using our video saliency model. A psychophysical experiment is conducted to estimate the perceived quality of the impaired videos. The results of this subjective test are compared to the scores obtained with the proposed objective metric. The objective and subjective scores are found to be highly correlated, which shows that our metric correctly estimates the perceived quality of a video.

关键词： artificial neural networks PSNR

来源：评论

学校读者我要写书评

暂无评论

2-D DHT-based fast Gabor transform for image processing

2-D DHT-based fast Gabor transform for image processing

引用

iiTA International conference on Geoscience and Remote Sensing (iiTA-GRS)

作者： Min Tan Juan-juan Gu Xue-you Hu Liang Tao Department of Electronic Information & Electrical Engineering Hefei University Hefei Anhui China School of Compute Science & Technology Anhui University Hefei Anhui China

The 2-D Gabor transform has been recognized as being useful in diverse areas such as image compression, texture analysis, image segmentation, and image recognition; however, its real time applications have been limited due to the high computational complexity of the traditional 2-D complex-valued discrete Gabor transform (CDGT) algorithms. In this paper, 2-D discrete Hartley transform (DHT)-based real-valued discrete Gabor transform (RDGT) is presented, which can utilize the fast DHT algorithm for fast computation and has a simple relationship with the CDGT such that the 2-D CDGT coefficients can be directly computed from the 2-D DHT-based RDGT coefficients. Due to this simple relationship, the 2-D DHT-based RDGT also offers a faster and more efficient method to compute the 2-D CDGT. In addition, an efficient algorithm for the fast computation of the biorthogonal analysis window given a synthesis window is also presented. The results indicate that the proposed algorithms for the RDGT are attractive for real time image processing.

关键词： image reconstruction artificial neural networks Algorithm design and analysis Equations Discrete Fourier transforms

来源：评论

学校读者我要写书评

暂无评论

A Novel Approach to Extract Salient Regions by Segmenting Color images with Hybrid Algorithm

A Novel Approach to Extract Salient Regions by Segmenting Co...

引用

International conference on Emerging Trends in Engineering and Technology, ICETET

作者： Prasanna Palsodkar Preeti Bajaj Department of Electronics Engineering Yeshwantrao Chavan College of Engineering Nagpur India G. H. Raisoni College of Engineering and Technology Nagpur India

Due to the advent of computer technology image-processing techniques have become increasingly important in a wide variety of applications. This is particularly true for medical imaging such as Computer Tomography (CT), magnetic resonance image (MRI), and nuclear medicine, which can be used to assist doctors in diagnosis, treatment, and research. In this paper, hybrid algorithm for segmentation of color images is presented. The segments in images are found automatically based on adaptive multilevel threshold approach and FCM algorithm. neural network with multisigmoid function tries to label the objects with its original color even after segmentation. One of the advantages of this system is that it does not require a past knowledge about the number of objects in the image. This Fuzzy-Neuro system is tested on Berkley standard image database and also attempts have been made to compare the performance of the proposed algorithm with other currently available algorithms. From experimental results, the performance of the proposed technique is found out to yields better extraction of salient regions with high resolution as nearly same as the original image and better than the existing techniques. It can be used as a primary tool to segment unknown color images. Experimental results show that its performance is robust to different types of color images.

关键词： image segmentation image color analysis Color Pixel artificial neural networks Feature extraction Neurons

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共267页 << < 184 185 186 187 188 189 190 191 192 193 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：