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

15,213 篇 会议
242 篇 期刊文献
229 册 图书
3 篇 学位论文

馆藏范围

15,687 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

8,128 篇 工学
- 5,449 篇 计算机科学与技术...
- 2,807 篇 软件工程
- 2,450 篇 电气工程
- 1,593 篇 信息与通信工程
- 1,034 篇 控制科学与工程
- 833 篇 光学工程
- 575 篇 电子科学与技术（可...
- 556 篇 生物医学工程（可授...
- 554 篇 机械工程
- 514 篇 仪器科学与技术
- 419 篇 生物工程
- 288 篇 测绘科学与技术
- 206 篇 航空宇航科学与技...
- 191 篇 交通运输工程
- 183 篇 材料科学与工程（可...
- 147 篇 安全科学与工程
- 122 篇 化学工程与技术
4,126 篇 理学
- 2,779 篇 物理学
- 1,138 篇 数学
- 471 篇 生物学
- 325 篇 系统科学
- 275 篇 统计学（可授理学、...
- 152 篇 化学
1,627 篇 医学
- 1,443 篇 临床医学
- 218 篇 特种医学
- 202 篇 基础医学(可授医学...
- 134 篇 药学(可授医学、理...
870 篇 管理学
- 522 篇 管理科学与工程(可...
- 381 篇 图书情报与档案管...
- 130 篇 工商管理
79 篇 法学
71 篇 农学
43 篇 经济学
41 篇 教育学
28 篇 文学
25 篇 军事学
20 篇 艺术学
1 篇 哲学

主题

2,717 篇 image processing
1,407 篇 image segmentati...
1,150 篇 signal processin...
822 篇 real-time system...
758 篇 feature extracti...
750 篇 cameras
555 篇 image edge detec...
539 篇 signal processin...
481 篇 image reconstruc...
470 篇 image coding
447 篇 algorithm design...
390 篇 deep learning
373 篇 object detection
354 篇 computer vision
351 篇 accuracy
347 篇 hardware
339 篇 image color anal...
333 篇 real time system...
333 篇 clustering algor...
316 篇 computer archite...

机构

22 篇 signal and image...
19 篇 samara national ...
17 篇 school of electr...
12 篇 information syst...
11 篇 samara national ...
11 篇 univ texas san a...
11 篇 department of el...
11 篇 school of electr...
10 篇 department of el...
10 篇 electrical compu...
9 篇 school of electr...
9 篇 institute of ima...
9 篇 tongji universit...
9 篇 purdue univ sch ...
9 篇 university of ch...
9 篇 center for signa...
8 篇 shanghai jiao to...
8 篇 information syst...
8 篇 university of to...
8 篇 image processing...

作者

22 篇 anon
13 篇 de-shuang huang
12 篇 jagdish chand ba...
11 篇 jie yang
11 篇 p. pirsch
10 篇 hannig frank
10 篇 panetta karen
10 篇 c.-c.j. kuo
10 篇 j.m. mendel
10 篇 plaza antonio
10 篇 r. chellappa
9 篇 semenishchev e.
9 篇 zelensky a.
9 篇 bovik alan c.
9 篇 wei li
8 篇 frank hannig
8 篇 yves wiaux
8 篇 a.s. willsky
8 篇 mahalanobis a
8 篇 ilias maglogiann...

语言

14,833 篇 英文
755 篇 其他
105 篇 中文
25 篇 土耳其文
4 篇 俄文
3 篇 葡萄牙文
2 篇 法文
1 篇 西班牙文

检索条件"任意字段=Conference on Image Processing - Algorithms and Systems VI"

共 15687 条记录，以下是931-940 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：

Algorithm for detection and classification of small objects on a complicated background to automated robotic complex 10

Algorithm for detection and classification of small objects ...

引用

conference on Optical Metrology and Inspection for Industrial Applications X

作者： Semenishchev, Evgenii Urunov, Slavat Ilyukhin, Yuriy Siryakov, Aleksey Voronin, viacheslav Moscow State Tech Univ STANKIN 1a Vadkovsky Moscow 127055 Russia

ISBN: (纸本)9781510667877;9781510667884

The article proposes an approach to the determination of small-form objects against a complex background. The proposed approach uses a parallel data processing algorithm that includes the following main modules: a multi-criteria image filtering block built on an objective function that minimizes the weighted average sum of the average square of the first-order finite difference, as well as the average square of the distance difference between the input implementation and the generated data;parallel separation of objects by analyzing local features, statistical analysis of histogram changes, building a mask of object detailing and frequency analysis;the formation of a feature mask and the search for similarity elements by analyzing the generated features. On the test data set, an example of determining small-sized objects on a complex background with their subsequent classification into class objects is presented. The data were obtained by a machine vision system installed on a robotic complex. Data on the required parameters of the formed machine vision systems are given, recommendations on the required parameters of the algorithms are presented.

关键词： image/signal smoothing edge detection preprocessing multicriteria method objects detection

来源：评论

学校读者我要写书评

暂无评论

image processing-Based Methods to Improve the Robustness of Robotic Gripping 22

Image Processing-Based Methods to Improve the Robustness of ...

引用

IEEE Joint 22nd International Symposium on Computational Intelligence and Informatics / 8th IEEE International conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics (CINTI-MACRo)

作者： Takacs, Kristof Elek, Renata Nagyne Haidegger, Tamas Obuda Univ Antal Bejczy Ctr Intelligent Robot Budapest Hungary Obuda Univ Doctoral Sch Appl Informat & Appl Math Budapest Hungary Obuda Univ John von Neumann Fac Informat Budapest Hungary Obuda Univ Univ Res & Innovat Ctr EKIK Budapest Hungary Austrian Ctr Med Innovat & Technol Wiener Neustadt Austria

ISBN: (纸本)9798350398823

image processing techniques are having a huge impact on most fields of robotics and industrial automation. Real-time methods are usually employed in complex automation tasks, assisting with decision making or directly guiding robots and machinery, while post-processing is usually used for retrospective assessment of systems and processes. While artificial intelligence-based image processing algorithms (relying usually on neural networks) are more common nowadays, "classical" image processing methods can also be used effectively for most modern applications. This paper focuses on optical flow-based image processing, proving its efficiency by presenting optical flow-based solutions for modern challenges in different fields of robotics, such as robot-assisted surgery and food processing. The application domain introduced in this paper is based on a smart robotic gripper designed to support automated robot cells in the meat industry. The gripper is capable of slip detection and secure gripping of soft, slippery tissues with the help of the implemented real-time algorithm.

关键词： image processing Optical flow Slip detection Robotic gripping

来源：评论

学校读者我要写书评

暂无评论

Conceptual Model of a Parking System with Automatic License Plate Recognition 30

Conceptual Model of a Parking System with Automatic License ...

引用

30th IEEE International Symposium for Design and Technology in Electronic Packaging, SIITME 2024

作者： Valova, Irena Kaneva, Tsvetelina Valov, Nikolay University of Ruse Department of Computer Systems and Technologies Ruse Bulgaria

ISBN: (纸本)9798331539511

Automating the process of managing the entrance and exit in parking lots is particularly important not only from a scientific point of view, but also in order to facilitate our everyday life. This paper describes our proposed conceptual model of a parking system based on a Raspberry Pi microcomputer and algorithms for automatic license plate text recognition. The individual modules of the system are described in detail, along with their functions, and an algorithm of the model's operation is proposed and described. For the implementation of a test prototype, infrared sensors were used for the entrance and exit, which, when a car is detected, transmit a signal to the raspberi pie module. It activates a camera that captures an image of the front of the car. The Python implemented software part of the system receives this image and, after preprocessing, returns the recognized registration number as text. This text, together with other information forms a record in a relational database. To improve the performance of the system, it would be good to add to recognition of the text from the registration plate also recognition of the make, model, type and color of the car. © 2024 IEEE.

关键词： Parking

来源：评论

学校读者我要写书评

暂无评论

Improving Efficiency of Spinal Cord image Segmentation Using Transfer Learning Inspired Mask Region-Based Augmented Convolutional Neural Network 1

引用

International conference on Data Analytics and Management, ICDAM 2023

作者： Garg, Sheetal Bhagyashree, S.R. Department of Electronics and Communication Engineering ATME College of Engineering Mysuru India

ISBN: (数字)9789819965441

ISBN: (纸本)9789819965434

Spinal cord magnetic resonance images (MRIs) consists of 7 levels of cervical vertebrae, 12 levels of thoracic vertebrae, 5 levels of lumbar vertebrae, one level each of sacrum and coccyx components. Segmentation of these components is essential for effective classification and post-processing analysis of spinal cord images. In order to perform this task, separate algorithms are needed for each of the components. Due to which, their segmentation performance is not uniform, which limits their integration capabilities. Moreover, performance for each type of segmentation has scalability issues, which must be improved via augmentation, aggregation, and machine learning for better clinical use. To resolve these issues, this text proposes design of a novel spinal cord image segmentation model using transfer learning inspired mask region-based augmented convolutional neural network (MRACNN). The proposed model utilizes initial weights from the pre-trained COCO mask RCNN model, and modifies them to incorporate spine, torso, and L1 to L5 spinal cord components. When compared to several state-of-the-art models, it is found that the suggested model has improved region of interest (RoI) extraction and an accuracy of 91% for segmenting these components. Moreover, the proposed model was evaluated on multiple datasets, and a consistent performance was observed. Furthermore, the model was fused with a XRAI-based convolutional neural network which assisted in further improving overall efficiency of segmentation. Fusion of XRAI CNN with MRACNN is capable of achieving segmentation accuracy of 94%, along with better RoI performance when compared with individual models. Delay requirement of the fused model is high, and requires large dataset for training & validation, thus, this text also recommends selective ensembling techniques for redundancy reduction, which assists in improving segmentation speed, while maintaining high segmentation quality. © 2024, The Author(s), under exclusive l

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

Designing Resilient Autonomous systems with the Reflex Pattern

Designing Resilient Autonomous Systems with the Reflex Patte...

引用

Design, Automation and Test in Europe conference and Exhibition

作者： Julian Demicoli Sebastian Steinhorst Department of Computer Engineering Technical University of Munich Germany

ISBN: (数字)9783982674100

ISBN: (纸本)9798331534646

Autonomous systems face significant challenges due to fluctuating resources and unstable environments, where traditional redundancy strategies for resilience can be inefficient. We present the Reflex pattern, inspired by biological reflexes, promoting system resilience by dynamically adapting to changing resource conditions. By switching between complex and resource-efficient algorithms based on availability, the pattern optimizes efficient resource utilization without extensive redundancy, ensuring essential functionalities remain operational under constraints. To facilitate adoption, we introduce ReflexLang, a domain-specific language (DSL) enabling automated code generation for reflex-pattern-based systems. We validate the pattern's effectiveness in a drone image processing scenario, demonstrating its potential to enhance operational integrity and resilience.

关键词： Autonomous systems Software architecture image processing Heuristic algorithms Redundancy Europe Switches Resource management Faces Resilience

来源：评论

学校读者我要写书评

暂无评论

Research on the Construction of image processing Model Based on Computer vision Algorithm

Research on the Construction of Image Processing Model Based...

引用

Control, Electronics and Computer Technology (ICCECT), IEEE International conference on

作者： Wang Yi Economic Law School of Law Shandong University of Technology Zibo Shandong China

ISBN: (数字)9798350380958

ISBN: (纸本)9798350380965

This research focuses on constructing an efficient image processing model, which is rooted in computer vision algorithms, to ameliorate image distortion and optimize visual display systems. The article initially discusses the significance of image distortion correction and its processing flow, encompassing detailed steps ranging from image preprocessing, model construction, parameter estimation, to pixel coordinate transformation. Furthermore, the design approach of computer vision display systems is explored, covering the theory of light field reconstruction, software and hardware design essentials, ensuring high fidelity in image presentation. Through multiple experiments conducted on datasets of distorted images, the effectiveness of the model in correcting distortion and enhancing image quality is empirically demonstrated, with the experimental results strongly supporting the feasibility and superiority of the model. This research holds positive implications for advancements and practical applications in the field of image processing.

关键词： Computer vision visualization Computational modeling image processing Display systems Distortion Solids

来源：评论

学校读者我要写书评

暂无评论

15th EAI International conference on Simulation Tools and Techniques, SIMUTools 2023

15th EAI International Conference on Simulation Tools and Te...

引用

15th EAI International conference on Simulation Tools and Techniques, SIMUTools 2023

ISBN: (纸本)9783031575228

The proceedings contain 23 papers. The special focus in this conference is on Simulation Tools and Techniques. The topics include: KNXsim: Simulator Tool for KNX Home Automation Training by Means of Group Addresses;Development of a 3D visualization Interface for virtualized UAVs;test-Driven Simulation of Robots Controlled by Enzymatic Numerical P systems Models;PySPN: An Extendable Python Library for Modeling & Simulation of Stochastic Petri Nets;replacing Sugarscape: A Comprehensive, Expansive, and Transparent Reimplementation;Generative AI with Modeling and Simulation of Activity and Flow-Based Diagrams;wildfire Risk Mapping Based on Multi-source Data and Machine Learning;an Intelligent Ranking Evaluation Method of Simulation Models Based on Graph Neural Network;simulation of Drinking Water Infrastructures Through Artificial Intelligence-Based Modelling for Sustainability Improvement;spatio-Temporal Speed Metrics for Traffic State Estimation on Complex Urban Roads;integrating Efficient Routes with Station Monitoring for Electric Vehicles in Urban Environments: Simulation and Analysis;comparing the Efficiency of Traffic Simulations Using Cellular Automata;multi-agent Simulation for Scheduling and Path Planning of Autonomous Intelligent Vehicles;ECG Pre-processing and Feature Extraction Tool for Intelligent Simulation systems;OTOviRT: An image-Guided Workflow for Individualized Surgical Planning and Multiphysics Simulation in Cochlear Implant Patients;Adaptive Sharing of IoT Resources Through SDN-Based Microsegmentation of Services Using Mininet;UAV-Assisted Wireless Communications: An Experimental Analysis of A2G and G2A Channels;trajectory-Aware Rate Adaptation for Flying Networks;rate Adaptation Aware Positioning for Flying Gateways Using Reinforcement Learning;RateRL: A Framework for Developing RL-Based Rate Adaptation algorithms in ns-3;on the Analysis of Computational Delays in Reinforcement Learning-Based Rate Adaptation algorithms.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Precision Fruit Harvesting: Stem Detection and Cutting Techniques using image processing for Robotic systems

Precision Fruit Harvesting: Stem Detection and Cutting Techn...

引用

Mobile Computing and Sustainable Informatics (ICMCSI), International conference on

作者： Madhura Rajesh Shankarpure Dipti D. Patil STE's Smt Kashibai Navale College of Engineering Savitribai Phule Pune University Pune Maharashtra India MKSSS's Cummins College of Engineering for Women Savitribai Phule Pune University Pune Maharashtra India

ISBN: (数字)9798331522667

ISBN: (纸本)9798331522674

To enhance robotic fruit harvesting systems, the proposed methodology uses image processing techniques to recognize orange stems. The method highlights only the stem of an orange fruit in an image by utilizing gray-scale conversion, contour-based filtering, Gaussian blur, and Canny edge recognition. The technique can be incorporated into agricultural robots to improve fruit harvesting accuracy. After detecting the fruit stem, it is crucial to ensure precise cutting of the fruit to prevent damage to both the fruit and the tree. The paper also assesses the performance of the method in terms of robustness in complicated situations and detection accuracy, demonstrating its potential for real-world agricultural applications.

关键词： Accuracy Machine learning algorithms Filtering image edge detection Heuristic algorithms Machine learning Gray-scale Robustness Informatics Mobile computing

来源：评论

学校读者我要写书评

暂无评论

Intelligence Pest Detection and Control in Agriculture using Computer vision and Deep Learning

Intelligence Pest Detection and Control in Agriculture using...

引用

2025 International conference on Intelligent Computing and Control systems, ICICCS 2025

作者： Ashok Kumar, S. Shaik, Fahimuddin Yashwitha, B. vidyavathi, P. Maheswari, A.Uma Spurthi, P. Annamacharya University Department of AI&DS Andhra Pradesh India Annamacharya University Department of ECE Andhra Pradesh India Annamacharya Institute of Technology and Sciences Department of AI&DS Andhra Pradesh India

ISBN: (纸本)9798331512088

One of the most significant challenges in agriculture over the years has been the detection and also control of pests and while it continues to this day, the advent of technology in the agricultural sector is providing solutions that are incredibly promising. Pests cause significant worldwide crop loss and represent a threat to food security and farmer livelihoods. Conventional pest management approaches revolve around labour-intensive strategies, large applications of pesticides, and reactionary measures, resulting in environmental degradation and sub-optimal crop yields. This work utilizes the power of AI(Artificial Intelligence),computer vision and deep learning to create a smart pest detection system. It treats pest identification and damage detection as real-time visual data processing tasks with machine learning approaches, making it possible to swiftly and accurately locate pests and their damage in the photos taken through the camera, facilitating extra prompt preventive measures. Working under the hood, the algorithms adapt to changing environmental conditions and shifting pest behaviours, learning as they go. Most of the pest detection systems today are manual, requiring manual visual inspection and image recognition approaches, this solution not only provides the next level of system but it also paves the way for pest management in the most efficient, accurate & sustainable way. © 2025 IEEE.

关键词： Agriculture Computer vision Convolutional Neural Network Crop Health Data Security Deep Learning image processing Machine Learning Models Pest Control Pest Detection Real-Time Monitoring Scalable Cloud Architecture Sustainable Farming

来源：评论

学校读者我要写书评

暂无评论

Comprehensive Analysis and Benchmarking of De-raining Techniques Through a Rain Model Approach

Comprehensive Analysis and Benchmarking of De-raining Techni...

引用

conference on Multimodal image Exploitation and Learning

作者： Badrieva, Shokhina Bernabel, Silvano Agaian, Sos GC CUNY Coll Staten Isl CSI Dept Comp Sci New York NY 10314 USA

ISBN: (纸本)9781510650770;9781510650763

Adverse weather conditions, such as rain, impact the visual quality of images and significantly impact the performance of vision systems for drone-based video surveillance and self-driving car applications. It is essential to develop algorithms that can automatically remove these artifacts and not degrade the rest of the image. Several methods have been proposed in literature and practice to address this problem. They mainly focus on specific rain models, such as droplets, streaks, mist, or a combination of these. Real-life rain images are largely randomized with diverse rain sizes, types, densities, and directions. Furthermore, rain impacts various image parts differently and is often randomly distributed. Most existing de-raining algorithms can't remove drops, streaks, and mist from images simultaneously. This paper addresses this issue by reviewing existing algorithms and datasets through a rain model lens. We present surveys and quantitative benchmarking of state-of-the-art intelligence algorithms based on the rain types they aim to remove. While other review papers exist on single image de-raining, our work looks at and outlines the different algorithms and datasets available for each specific rain model. Finally, the paper makes the following contributions: Select the most recent state of the art algorithms and show their performance for each rain type on our combination dataset called the Combination Rain Model Dataset Offers insights on the issues that still exist in the developing field of image de-raining and future steps in the field

关键词： De-rain rain removal deep learning algorithms digital image processing de-raining image applications rain model rain streak raindrop rain mist

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500页 << < 90 91 92 93 94 95 96 97 98 99 > >>

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：