检索结果-内蒙古大学图书馆

2nd International conference on Computer and Communication Technologies

作者： Jagadeesh, M. Kumar, M. Anand Soman, K. P. Atlas Healthcare Software India Pvt Coimbatore Tamil Nadu India Amrita Vishwa Vidyapeetham Ctr Excellence Computat Engn & Networking Coimbatore Tamil Nadu India

ISBN: (纸本)9788132225263;9788132225256

Indian languages have very less linguistic resources, though they have a large speaker base. They are very rich in morphology, making it very difficult to do sequential tagging or any type of language analysis. In natural language processing, parts-of-speech (POS) tagging is the basic tool with which it is possible to extract terminology using linguistic patterns. The main aim of this research is to do sequential tagging for Indian languages based on the unsupervised features and distributional information of a word with its neighboring words. The results of the machine learning algorithms depend on the data representation. Not all the data contribute to creation of the model, leading a few in vain and it depends on the descriptive factors of data disparity. Data representations are designed by using domain-specific knowledge but the aim of Artificial Intelligence is to reduce these domain-dependent representations, so that it can be applied to the domains which are new to one. Recently, deep learning algorithms have acquired a substantial interest in reducing the dimension of features or extracting the latent features. Recent development and applications of deep learning algorithms are giving impressive results in several areas mostly in image and text applications.

关键词： Natural language processing Deep belief networks Restricted Boltzmann machine Neural networks POS tagging

来源：评论

学校读者我要写书评

暂无评论

AprilTag 2: Efficient and robust fiducial detection

AprilTag 2: Efficient and robust fiducial detection

引用

IEEE/RSJ International conference on Intelligent Robots and systems (IROS)

作者： Wang, John Olson, Edwin Univ Michigan Dept Comp Sci & Engn Ann Arbor MI 48109 USA

ISBN: (纸本)9781509037629

AprilTags and other passive fiducial markers require specialized algorithms to detect markers among other features in a natural scene. The vision processing steps generally dominate the computation time of a tag detection pipeline, so even small improvements in marker detection can translate to a faster tag detection system. We incorporated lessons learned from implementing and supporting the AprilTag system into this improved system. This work describes AprilTag 2, a completely redesigned tag detector that improves robustness and efficiency compared to the original AprilTag system. The tag coding scheme is unchanged, retaining the same robustness to false positives inherent to the coding system. The new detector improves performance with higher detection rates, fewer false positives, and lower computational time. Improved performance on small images allows the use of decimated input images, resulting in dramatic gains in detection speed.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

Polynomial feature engineering for classification of textural images

引用

Journal of Physics: conference Series 2018年第1期1096卷

作者： A V Gaidel Samara National Research University Moskovskoe Shosse 34 Samara Russia 443086 Image Processing Systems Institute - Branch of the Federal Scientific Research Centre 'Crystallography and Photonics' of Russian Academy of Sciences Molodogvardeyskaya str. 151 Samara Russia 443001

I consider a number of methods of automatic quadratic features adjustment for digital textural images of biological tissues in order to improve the quality of classification. The proposed approaches are based on optimization procedures that use various quality criteria of a feature space as target functions. I investigate the methods based on random search, genetic algorithm, simulation of annealing, as well as the original hybrid algorithm. I presented results of experimental studies of the proposed algorithms on sets of real X-ray images of bone tissue and the lung CT images. We show that the hybrid algorithm provides more stable results regardless of the chosen quality criterion of the feature space, which is expressed in decreasing of the average percentage of incorrectly recognized images in comparison with the use of the specific optimization methods individually.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Remote canopy hemispherical image collection system 7

Remote canopy hemispherical image collection system

引用

conference on Advanced Sensor systems and Applications vii

作者： Wan, Xuefen Liu, Bingyu Yang, Yi Han, Fang Cui, Jian North China Inst Sci & Technol Dept Comp Sci & Technol 467 Xueyuan St Sanhe 065201 Peoples R China Northeastern Univ Coll Informat Sci & Engn 11 Wenhua Rd Shenyang 110819 Peoples R China Donghua Univ Coll Informat Sci & Technol 2999 North Renmin Rd Shanghai 201620 Peoples R China Natl Educ Minist Digitized Text & Fash Technol Engn Ctr 2999 North Renmin Rd Shanghai 201620 Peoples R China Beijing Univ Aeronaut & Astronaut Engn Training Ctr 37 Xueyuan Rd Beijing 100191 Peoples R China

ISBN: (数字)9781510604704

ISBN: (纸本)9781510604698;9781510604704

Canopies are major part of plant photosynthesis and have distinct architectural elements such as tree crowns, whorls, branches, shoots, etc. By measuring canopy structural parameters, the solar radiation interception, photosynthesis effects and the spatio-temporal distribution of solar radiation under the canopy can be evaluated. Among canopy structure parameters, Leaf Area Index (LAI) is the key one. Leaf area index is a crucial variable in agronomic and environmental studies, because of its importance for estimating the amount of radiation intercepted by the canopy and the crop water requirements. The LAI can be achieved by hemispheric images which are obtained below the canopy with high accuracy and effectiveness. But existing hemispheric images canopy-LAI measurement technique is based on digital SLR camera with a fisheye lens. Users need to collect hemispheric image manually. The SLR camera with fisheye lens is not suit for long-term canopy-LAI outdoor measurement too. And the high cost of SLR limits its capacity. In recent years, with the development of embedded system and image processing technology, low cost remote canopy hemispheric image acquisition technology is becoming possible. In this paper, we present a remote hemispheric canopy image acquisition system with in-field/host configuration. In-field node based on imbed platform, low cost image sensor and fisheye lens is designed to achieve hemispherical image of plant canopy at distance with low cost. Solar radiation and temperature/humidity data, which are important for evaluating image data validation, are obtained for invalid hemispherical image elimination and node maintenance too. Host computer interacts with in-field node by 3G network. The hemispherical image calibration and super resolution are used to improve image quality in host computer. Results show that the remote canopy image collection system can make low cost remote canopy image acquisition for LAI effectively. It will be a potential tec

关键词： Leaf area index canopy super resolution hemispherical photography hemispherical image calibration 3G communication

来源：评论

学校读者我要写书评

暂无评论

An Improved Method for Visibility Enhancement of Foggy images

An Improved Method for Visibility Enhancement of Foggy Image...

引用

International conference on Emerging Trends in Electrical Electronics & Sustainable Energy systems (ICETEESES)

作者： Pal, Narendra Singh Lal, Shyam Shinghal, Kshitij Moradabad Inst Technol Dept E&C Engn Moradabad UP India Dr APJ Abdul Kalam Tech Univ Lucknow Uttar Pradesh India Natl Inst Technol Karnataka Dept E&C Engn Mangaluru KA India

ISBN: (纸本)9781509021185

An improved method for visibility enhancement of foggy based degraded images is presented. Proposed technique consists of two phases: firstly applied the visibility enhancement algorithm and then automatic color enhancement algorithm. Quantitative metric and qualitative result of proposed technique is evaluated and compared with other existing visibility restoration algorithms. In this paper quantitative results are presented in terms of measure of enhancement and measure of enhancement factor. Simulation results on foggy images from database demonstrates that proposed technique provides better visibility enhancement results as compared to the others existing visibility enhancement algorithms. A result reveals that proposed technique is an efficient method for visibility enhancement of foggy based degraded images.

关键词： Visibility Enhancement Color Enhancement image processing Enhancement Factor

来源：评论

学校读者我要写书评

暂无评论

Local motion compensation in image sequences degraded by atmospheric turbulence: a comparative analysis of optical flow vs. block matching methods 19

Local motion compensation in image sequences degraded by atm...

引用

conference on Optics in Atmospheric Propagation and Adaptive systems XIX

作者： Huebner, Claudia S. Fraunhofer IOSB Gutleuthausstr 1 D-76275 Ettlingen Germany

ISBN: (数字)9781510604094

ISBN: (纸本)9781510604087;9781510604094

As a consequence of fluctuations in the index of refraction of the air, atmospheric turbulence causes scintillation, spatial and temporal blurring as well as global and local image motion creating geometric distortions. To mitigate these effects many different methods have been proposed. Global as well as local motion compensation in some form or other constitutes an integral part of many software-based approaches. For the estimation of motion vectors between consecutive frames simple methods like block matching are preferable to more complex algorithms like optical flow, at least when challenged with near real-time requirements. However, the processing power of commercially available computers continues to increase rapidly and the more powerful optical flow methods have the potential to outperform standard block matching methods. Therefore, in this paper three standard optical flow algorithms, namely Horn-Schunck (HS), Lucas-Kanade (LK) and Farneback (FB), are tested for their suitability to be employed for local motion compensation as part of a turbulence mitigation system. Their qualitative performance is evaluated and compared with that of three standard block matching methods, namely Exhaustive Search (ES), Adaptive Rood Pattern Search (ARPS) and Correlation based Search (CS).

关键词： atmospheric turbulence turbulence mitigation optical flow block matching motion estimation local motion compensation image restoration

来源：评论

学校读者我要写书评

暂无评论

Planet detection down to a few λ/D: an RSDI/TLOCI approach to PSF subtraction 5

Planet detection down to a few λ/D: an RSDI/TLOCI approach ...

引用

conference on Adaptive Optics systems V

作者： Gerard, Benjamin L. Marois, Christian Univ Victoria Dept Phys & Astron 3800 Finnerty Rd Victoria BC V8P 5C2 Canada Natl Res Council Canada 5071 West Saanich Rd Victoria BC V9E 2E7 Canada

ISBN: (纸本)9781510601987

Most current high contrast imaging point spread function (PSF) subtraction algorithms use some form of a least-squares noise minimization to find exoplanets that are, before post-processing, often hidden below the instrumental speckle noise. In the current standard PSF subtraction algorithms, a set of reference images is derived from the target image sequence to subtract each target image, using Angular and/or Simultaneous Spectral Differential Imaging (ADI, SSDI, respectively). However, to avoid excessive exoplanet self-subtraction, ADI and SSDI (in the absence of a strong spectral feature) severely limit the available number of reference images at small separations. This limits the performance of the least-squares algorithm, resulting in lower sensitivity to exoplanets at small angular separations. Possible solutions are to use additional reference images by acquiring longer sequences, use SSDI if the exoplanet is expected to show strong spectral features, or use images acquired on other targets. The latter option, known as Reference Star Differential Imaging (RSDI), which relies on the use of reference images that are highly correlated to the target image, has been ineffective in previous ground-based high contrast imaging surveys. The now >200 target reference library from the Gemini Planet imager Exoplanet Survey (GPIES) allows for a detailed RSDI analysis to possibly improve contrast performance near the focal plane mask, at similar to 2-7 lambda/D separations. We present the results of work to optimize PSF subtraction with the GPIES reference library using a least-squares algorithm designed to minimize speckle noise and maximize planet throughput, thus maximizing the planet signal to noise ratio (SNR). Using December 2014 51 Eri GPI data in the inner 100 mas to 300 mas annulus, we find no apparent improvement in SNR when using RSDI and/or our optimization scheme. This result, while still being investigated, seems to show that current algorithms on ADI+SSDI da

关键词： high contrast imaging PSF subtraction image processing

来源：评论

学校读者我要写书评

暂无评论

Design and Manufacturing of a Low-Cost 2-DOF Autonomous Sentry Gun 2

Design and Manufacturing of a Low-Cost 2-DOF Autonomous Sent...

引用

2nd International conference on Robotics and Artificial Intelligence (ICRAI)

作者： Ahmad, Husnain Ali, Syed Mohsin Sheikh, Usman Ayub Murtaza, Zain Rizwan, Muhammad Natl Univ Sci & Technol Dept Robot & Artificial Intelligence Sect H-12 Islamabad 44000 Pakistan Harbin Inst Technol Automat Test & Control Inst Elect & Automat Dept Harbin Peoples R China

ISBN: (纸本)9781509040599

In this paper, design and development of a selfsufficient sentry robotic gun is presented. Professional robotic assemblies which are generally developed for security purposes are targeted toward high efficiency and are based on extensive control algorithms. This makes them quite expensive and infeasible for low budget applications. One important component of such systems is that of motion detection. Motion detection also plays a key role in security applications installed at banks, offices and vulnerable areas. An efficient motion detection system has been developed using embedded micro-controller and MATLAB interface. The proposed system can also be set into an autonomous mode of operation, in which the system tracks and engages targets without any human intervention. Aside from autonomous mode, there is also a manual over-ride mode. The hardware employed in the proposed system is based on easily accessible materials. Motion detection and image processing was implemented using MATLAB image processing toolbox and periodic background estimation subtraction was used for the detection of motion.

关键词： periodic background estimation subtraction security solution 2-DOF sentry manipulator MATLAB image processing tool box

来源：评论

学校读者我要写书评

暂无评论

Innovative methodology for the integration of range-data and image-based systems

Innovative methodology for the integration of range-data and...

引用

IMEKO International conference on Metrology for Archeology and Cultural Heritage, MetroArcheo 2016

作者： Angelini, Andrea Portarena, Damiano Consiglio Nazionale delle Ricerche Istituto per le Tecnologie Applicate ai Beni Culturali Roma Italy Università degli studi di Roma Tor Vergata Italy

ISBN: (纸本)9781510849754

Most of the survey techniques used in archaeology and architecture are currently focused on range-data (laser scanning) and image-based systems (digital photogrammetry/photoscanning). The paper aims to highlight a different methodological approach in the procedures of acquisition and processing of numerical data. The proposed methodology suggests an alternative integration between point clouds from laser scanner and image-based system, exploiting the properties of the ICP algorithms. Three different experimentations were performed at different level in order to achieve the suitable procedure. Some graphics show the comparison between the classic approach and the new procedure. The results are very interesting for what concerns the elaboration of the numerical models. The correct position of the points in space contributes the next step of the surface reconstruction (meshing process) and the final 2D representation. © 2016 IMEKO-International Measurement Federation Secretariat. All rights reserved.

关键词： Data handling

来源：评论

学校读者我要写书评

暂无评论

Review of MRI-based brain tumor image segmentation using deep learning methods 12th

Review of MRI-based brain tumor image segmentation using dee...

引用

12th International conference on Application of Fuzzy systems and Soft Computing (ICAFS)

作者： Isin, Ali Direkoglu, Cem Sah, Melike Near East Univ Dept Biomed Engn POB 99138 TR-10 Mersin Turkey Middle East Tech Univ Dept Elect & Elect Engn Northern Cyprus Campus TR-10 Mersin Turkey Near East Univ Dept Comp Engn POB 99138 TR-10 Mersin Turkey

Brain tumor segmentation is an important task in medical image processing. Early diagnosis of brain tumors plays an important role in improving treatment possibilities and increases the survival rate of the patients. Manual segmentation of the brain tumors for cancer diagnosis, from large amount of MRI images generated in clinical routine, is a difficult and time consuming task. There is a need for automatic brain tumor image segmentation. The purpose of this paper is to provide a review of MRI-based brain tumor segmentation methods. Recently, automatic segmentation using deep learning methods proved popular since these methods achieve the state-of-the-art results and can address this problem better than other methods. Deep learning methods can also enable efficient processing and objective evaluation of the large amounts of MRI-based image data. There are number of existing review papers, focusing on traditional methods for MRI-based brain tumor image segmentation. Different than others, in this paper, we focus on the recent trend of deep learning methods in this field. First, an introduction to brain tumors and methods for brain tumor segmentation is given. Then, the state-of-the-art algorithms with a focus on recent trend of deep learning methods are discussed. Finally, an assessment of the current state is presented and future developments to standardize MRI-based brain tumor segmentation methods into daily clinical routine are addressed. (C) 2016 The Authors. Published by Elsevier B.V.

关键词： Review image processing deep learning brain tumor segmentation convolutional neural networks mri

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：