检索结果-内蒙古大学图书馆

Drone-based land-cover mapping using a fuzzy unordered rule induction algorithm integrated into object-based image analysis

引用

INTERNATIONAL JOURNAL OF REMOTE SENSING 2017年第8-10期38卷 2535-2556页

作者： Kalantar, Bahareh Bin Mansor, Shattri Sameen, Maher Ibrahim Pradhan, Biswajeet Shafri, Helmi Z. M. Univ Putra Malaysia Fac Engn Dept Civil Engn GISRC Serdang Malaysia Sejong Univ Dept Energy & Mineral Resources Engn Seoul South Korea

Land-cover maps provide essential data for a wide range of practical and small-scale applications. A number of data sources appropriate for land-cover extraction are available. Among these, images captured using unmanned aerial vehicles (UAVs) are low cost, have very high resolution, and can be acquired at any time with few restrictions. Over the past two decades, various classification techniques have been developed to extract land-cover features from UAV images, and object-based image analysis (OBIA) is the preferred technique based on the recent literature. This study presents a novel method that integrates the fuzzy unordered rule induction algorithm (FURIA) into OBIA to achieve accurate land-cover extraction from UAV images. The images were segmented using a multiresolution segmentation algorithm with an optimized scale parameter. The scale parameter was optimized using a novel approach that integrated feature space optimization into the plateau objective function. During the classification stage, significant features were selected via random forest, and rule sets were developed using FURIA. For comparison, result of the proposed approach was compared with those of decision tree (DT) rules and the Support Vector Machine (SVM) classification method. The results of this study indicate that the proposed method outperforms DT and SVM with an overall accuracy of 91.23%. A transferability evaluation showed that FURIA achieved accurate classification results on different UAV image subsets captured at different times. The findings suggest that fuzzy rules are more appropriate than conventional crisp rules for land-cover extraction from UAV images.

关键词： DRONE aircraft LAND cover RADAR in earth sciences RANDOM forest (algorithms) CARTOGRAPHY FEATURE extraction (Data processing)

来源：评论

学校读者我要写书评

暂无评论

Convolutional Neural Network Based Localized Classification of Uterine Cervical Cancer Digital Histology images

Convolutional Neural Network Based Localized Classification ...

引用

Complex Adaptive systems conference on Engineering Cyber Physical systems (CAS)

作者： Almubarak, Haidar A. Stanley, R. Joe Long, Rodney Antani, Sameer Thoma, George Zuna, Rosemary Frazier, Shelliane R. Missouri Univ Sci & Technol Dept Elect & Comp Engn Rolla MO 65401 USA NIH Lister Hill Nationa Ctr Biomed Commun DHHS Natl Lib Med Bldg 10 Bethesda MD 20892 USA Univ Oklahoma Hlth Sci Ctr Dept Pathol Oklahoma City OK 73117 USA Univ Missouri Hosp & Clin Dept Surg Pathol Columbia MO 65202 USA

In previous research, we introduced an automated localized, fusion-based algorithm to classify squamous epithelium into Normal, CIN1, CIN2, and CIN3 grades of cervical intraepithelial neoplasia (CIN). The approach partitioned the epithelium into 10 segments. image processing and machine vision algorithms were used to extract features from each segment. The features were then used to classify the segment and the result was fused to classify the whole epithelium. This research extends the previous research by dividing each of the 10 segments into 3 parts and uses a convolutional neural network to classify the 3 parts. The result is then fused to classify the segments and the whole epithelium. The experimental data consists of 65 images. The proposed method accuracy is 77.25% compared to 75.75% using the previous method for the same dataset. (C) 2017 The Authors. Published by Elsevier B.V.

关键词： Cervical Cancer Convolutoin Neural Networks Data Fusion image classifcation Clinical Decision Support systems

来源：评论

学校读者我要写书评

暂无评论

Corona discharge classification based on UAV data acquisition 21

Corona discharge classification based on UAV data acquisitio...

引用

21st International conference on Control systems and Computer Science (CSCS)

作者： Vidan, Cristian Maracine, Mihaela Mil Tech Acad Fac Mechatron & Integrated Armament Syst Aircraft Integrated Syst & Mech Dept Bucharest Romania Univ Politehn Bucuresti Fac Automat Control & Comp Comp Sci Dept Bucharest Romania

ISBN: (纸本)9781538618394

The Corona discharge represents one of the main concerns of the century in the field of electricity and powerline design, as it is both harmful for the environment as well as very costly to cover for the voltage losses on the transport. In this paper, we propose the design for a measurement and analysis platform for this phenomenon that can estimate the Corona discharge losses based on a video stream coming from an electro-optical sensor placed on board of an Unmanned Aerial Vehicle (UAV). After experimenting on a dataset generated from Corona discharge videos, our results suggest that of the supervised learning algorithms taken into consideration those based on Radial-Basis approaches are the most effective in classifying the information being fed to it. Before the classification task, we propose a starter set of filtering operation, composed of grayscale reduction, mean blurring and binary transformation.

关键词： Corona discharge UAV data classification data acquisition image processing machine learning

来源：评论

学校读者我要写书评

暂无评论

Support Vector Machine Optimized by Firefly Algorithm for Emphysema Classification in Lung Tissue CT images 25

Support Vector Machine Optimized by Firefly Algorithm for Em...

引用

25th International conference on Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG)

作者： Tuba, Eva Tuba, Milan Simian, Dana Univ Belgrade Fac Math Studentski Trg 16 Belgrade 11000 Serbia John Naisbitt Univ Fac Comp Sci Bulevar Umetnosti 29 Belgrade 11070 Serbia Lucian Blaga Univ Fac Sci Ion Ratiu St 5-7 Sibiu 550012 Romania

ISBN: (纸本)9788086943503

Digital images and digital image processing facilitated significant progress in numerous areas where medicine is an important one of them. Computer-aided detection and diagnostics systems are used to assist specialists in interpretation of medical digital images. One of the important research issues is detection and classification of the chronic obstructive pulmonary disease in lung CT images In this paper we proposed a method for emphysema classification based on texture and intensity features. Only six different characteristics of the uniform local binary pattern and intensity histogram were used as input vector for support vector machine that was used as classifier. Feature vector was significantly reduced compared to the other state-of-the-art methods while the classification accuracy was increased. On images from standard dataset global accuracy of our proposed algorithm was 98.18% compared to 95.24% and 93.9% of two other compared algorithms.

关键词： Support vector machines lung tissue classification CT images image processing firefly algorithm swarm intelligence

来源：评论

学校读者我要写书评

暂无评论

A method of object recognition for single pixel imaging

A method of object recognition for single pixel imaging

引用

International conference on Optical Instruments and Technology (OIT) at the Topical Meeting on Optoelectronic Imaging/Spectroscopy and Signal processing Technology

作者： Li, Boxuan Zhang, Wenwen Nanjing Univ Sci & Technol Jiangsu Key Lab Spectral Imaging & Intelligent Se Nanjing Jiangsu Peoples R China

ISBN: (数字)9781510617520

ISBN: (纸本)9781510617520;9781510617513

Computational ghost imaging(CGI), utilizing a single-pixel detector, has been extensively used in many fields. However, in order to achieve a high-quality reconstructed image, a large number of iterations are needed, which limits the flexibility of using CGI in practical situations, especially in the field of object recognition. In this paper, we purpose a method utilizing the feature matching to identify the number objects. In the given system, approximately 90% of accuracy of recognition rates can be achieved, which provides a new idea for the application of single pixel imaging in the field of object recognition

关键词： Imaging systems Computational imaging image recognition algorithms and filter

来源：评论

学校读者我要写书评

暂无评论

Unsupervised Segmentation of Nonstationary Data using Triplet Markov Chains 19

Unsupervised Segmentation of Nonstationary Data using Triple...

引用

19th International conference on Enterprise Information systems (ICEIS)

作者： Boudaren, Mohamed El Yazid Monfrini, Emmanuel Bey, Kadda Beghdad Habbouchi, Ahmed Pieczynski, Wojciech Ecole Mil Polytech POB 17 Algiers 16111 Algeria Univ Paris Saclay Telecom SudParis SAMOVAR CNRS F-91011 Evry France

ISBN: (纸本)9789897582479

An important issue in statistical image and signal segmentation consists in estimating the hidden variables of interest. For this purpose, various Bayesian estimation algorithms have been developed, particularly in the framework of hidden Markov chains, thanks to their efficient theory that allows one to recover the hidden variables from the observed ones even for large data. However, such models fail to handle nonstationary data in the unsupervised context. In this paper, we show how the recent triplet Markov chains, which are strictly more general models with comparable computational complexity, can be used to overcome this limit through two different ways: (i) in a Bayesian context by considering the switches of the hidden variables regime depending on an additional Markov process;and, (ii) by introducing Dempster-Shafer theory to model the lack of precision of the hidden process prior distributions. which is the origin of data nonstationarity. Furthermore, this study analyzes both approaches in order to determine which one is better-suited for nonstationary data. Experimental results are shown for sampled data and noised images.

关键词： Data Segmentation Hidden Markov Chains Nonstationary Data Signal processing Triplet Markov Chains

来源：评论

学校读者我要写书评

暂无评论

Effect of Mean Temperature on the Evolution of Strain-Amplitude in SAC Ball-Grid Arrays During Operation Under Thermal Aging and Temperature Excursions 67

Effect of Mean Temperature on the Evolution of Strain-Amplit...

引用

IEEE 67th Electronic Components and Technology conference (ECTC)

作者： Lall, Pradeep Mirza, Kazi Suhling, Jeff Locker, David Auburn Univ Dept Mech Engn NSF Elect Res Ctr CAVE3 Auburn AL 36849 USA US Army AMRDEC Huntsville AL 35898 USA

ISBN: (纸本)9781509063154

Electronics in automotive applications may be used for a number of safety critical systems including lane-departure warning, collision avoidance, drive assist systems, and adaptive cruise control. Furthermore, electronics in fully electric vehicles may be used for power generation and management. Automotive electronics may be mounted on engine or on transmission or in the base of the automobile and may be subjected to operational temperature excursions in addition to environmental temperature extremes. Further, automotive electronics systems may be subjected to prolonged periods of storage at ambient environmental low or high temperatures. There is need for tools and techniques for proactive assessment of consumed life, remaining useful-life, and spot assessment of thermo-mechanical reliability of electronics to assure reliable operation for the automotive benchmark of 10-years, 100,000 miles. In this study, the effect of thermal aging on thermal cycling reliability and the evolution of strain has been studied using digital image correlation. Leadfree assemblies which have been subjected to prolonged periods of aging have been subsequently subjected to thermal cycling and the strain amplitude experienced in the solder joints has been measured using digital image correlation. These strain state results then were correlated with microstructural damage rate (obtained from a separate study) to develop a damage mapping model. Finally, a new approach of life model along with Remaining Useful Life (RUL) estimation technique has been presented based upon microstructural damage rate.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

来源：评论

学校读者我要写书评

暂无评论

A probabilistic U-net for segmentation of ambiguous images 18

A probabilistic U-net for segmentation of ambiguous images

引用

Proceedings of the 32nd International conference on Neural Information processing systems

作者： Simon A. A. Kohl Bernardino Romera-Paredes Clemens Meyer Jeffrey De Fauw Joseph R. Ledsam Klaus H. Maier-Hein S. M. Ali Eslami Danilo Jimenez Rezende Olaf Ronneberger DeepMind London UK and Division of Medical Image Computing German Cancer Research Center Heidelberg Germany DeepMind London UK Division of Medical Image Computing German Cancer Research Center Heidelberg Germany

Many real-world vision problems suffer from inherent ambiguities. In clinical applications for example, it might not be clear from a CT scan alone which particular region is cancer tissue. Therefore a group of graders typically produces a set of diverse but plausible segmentations. We consider the task of learning a distribution over segmentations given an input. To this end we propose a generative segmentation model based on a combination of a U-Net with a conditional vari-ational autoencoder that is capable of efficiently producing an unlimited number of plausible hypotheses. We show on a lung abnormalities segmentation task and on a Cityscapes segmentation task that our model reproduces the possible segmentation variants as well as the frequencies with which they occur, doing so significantly better than published approaches. These models could have a high impact in real-world applications, such as being used as clinical decision-making algorithms accounting for multiple plausible semantic segmentation hypotheses to provide possible diagnoses and recommend further actions to resolve the present ambiguities.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Digital image Chaotic Encryption and Transmission Using UIO 1

Digital Image Chaotic Encryption and Transmission Using UIO

引用

International conference on Computer Communications and Electronics (Comptelix)

作者： Sharma, Vivek Sharma, Bharat Bhushan Nath, Ravinder Natl Inst Technol Hamirpur India

ISBN: (纸本)9781509047086

In present work, secure communication scheme for digital images based on discrete time unknown input observer (UIO) design blended with discrete time chaotic encryption is presented. Chaotic signals are pseudo random signals with no periodicity over infinite length. However, the series can be generated with the precise knowledge of the few parameters like system parameters and initial conditions of the chaotic system. With the given nature of pseudo-randomness and extreme sensitivity to parameters, chaotic sequences are ideal for encryption. In literature, these chaotic sequences are generally generated using continuous time chaotic systems. Since image data to be transmitted is in digital form and encryption algorithms are also executed on digital devices, so it is proposed to use discrete time chaotic communication scheme. Further, its effectiveness for encryption of digital images is also analyzed. To further enhance the security encrypted data is embedded in the dynamics of discrete time chaotic transmitter system. To recover the message at the receiver, design of discrete time UIO along with a procedure to recover unknown message signal using estimated states is given. Existence conditions for the UIO are analytically derived in terms of LMIs. Solution of these LMIs gives the observer design matrices. Robustness of UIO based chaotic communication scheme against attacks is analyzed by studying return maps of the transmitted signal. It is reported that security of chaotic communication scheme can be compromised by studying the return maps of the transmitted signal. To validate the proposed approach results of simulation and security analysis are presented.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

来源：评论

学校读者我要写书评

暂无评论

Blur vs. Block: Investigating the Effectiveness of Privacy-Enhancing Obfuscation for images 30

Blur vs. Block: Investigating the Effectiveness of Privacy-E...

引用

30th IEEE/CVF conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Li, Yifang Vishwamitra, Nishant Knijnenburg, Bart P. Hu, Hongxin Caine, Kelly Clemson Univ Clemson SC 29631 USA

ISBN: (纸本)9781538607336

Computer vision can lead to privacy issues such as unauthorized disclosure of private information and identity theft, but it may also be used to preserve user privacy. For example, using computer vision, we may be able to identify sensitive elements of an image and obfuscate those elements thereby protecting private information or identity. However, there is a lack of research investigating the effectiveness of applying obfuscation techniques to parts of images as a privacy-enhancing technology. In particular, we know very little about how well obfuscation works for human viewers or users' attitudes towards using these mechanisms. In this paper, we report results from an online experiment with 53 participants that investigates the effectiveness two exemplar obfuscation techniques: "blurring" and "blocking", and explores users' perceptions of these obfuscations in terms of image satisfaction, information sufficiency, enjoyment, and social presence. Results show that although "blocking" is more effective at de-identification compared to "blurring" or leaving the image "as is", users' attitudes towards "blocking" are the most negative, which creates a conflict between privacy protection and users' experience. Future work should explore alternative obfuscation techniques that could protect users' privacy and also provide a good viewing experience.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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：