检索结果-内蒙古大学图书馆

Resolution enhancement of single image by using multiple training images

Resolution enhancement of single image by using multiple tra...

2015 International conference on image processing, computer vision, and Pattern Recognition, IPCV 2015, at WORLDCOMP 2015

作者： Choudhary, Yogesh Kashyap, Manish Kumar, Sandeep Pal, Swaraj Singh Bhattacharya, Mahua Indian Institute of Information Technology and Management GwaliorM.P. India

ISBN: (纸本)1601324049

In recent days most digital imaging devices i.e. the high resolution images or videos are playing a critical role in the areas of image processing and application. They too are becoming helpful in the areas of medical diagnosis. This type of images is basically helpful in the pictorial information of human understanding. The algorithm of single image super-resolution is presented which are basically based on spatial and wavelet domain and take the advantage of both. Now in virtual world when we take an object then its resolution of a target image is quite perfect and do not distort when we actually zoom it but this is not the case with the real world image data in which we need to apply some of the techniques by which the image do not get distorted. © International conference on image processing, computer vision, and Pattern Recognition, IPCV *** right reserved.

关键词： Diagnosis

来源：评论

学校读者我要写书评

暂无评论

Hand-drawn Line Removal from Bangla Printed Document images

Hand-drawn Line Removal from Bangla Printed Document Images

引用

IEEE International conference on computer graphics, vision and Information Security (CGVIS)

作者： Banerjee, Tamali Biswas, Samit Indian Inst Engn Sci & Technol Dept Comp Sci & Technol Sibpur 711103 Howrah India

ISBN: (纸本)9781467374378

Every document holds some sorts of information. Paper documents especially old paper document provide a wealth of information about every aspect of the society and civilization. So these paper documents are being converted to electronic form for better storage, processing and analysis. The people, especially students while reading a book or documents have a tendency to mark important lines through the pen. To preserve these types of documents electronically, these lines need to be removed. This paper proposed a method to remove hand drawn lines from scanned paper document images. As there is no any benchmark database, we also proposed a dataset consisting of document images with hand-drawn lines (made it publicly available). The proposed method is tested on this dataset and the results are encouraging.

关键词： document image Connected Components degraded document

来源：评论

学校读者我要写书评

暂无评论

FAST AND ACCURATE BILATERAL FILTERING USING GAUSS-POLYNOMIAL DECOMPOSITION

FAST AND ACCURATE BILATERAL FILTERING USING GAUSS-POLYNOMIAL...

引用

IEEE International conference on image processing (ICIP)

作者： Chaudhury, Kunal N. Indian Inst Sci Dept Elect Engn Bangalore 560012 Karnataka India

ISBN: (纸本)9781479983391

The bilateral filter is a versatile non-linear filter that has found diverse applications in image processing, computer vision, computer graphics, and computational photography. A common form of the filter is the Gaussian bilateral filter in which both the spatial and range kernels are Gaussian. A direct implementation of this filter requires O(sigma(2)) operations per pixel, where sigma is the standard deviation of the spatial Gaussian. In this paper, we propose an accurate approximation algorithm that can cut down the computational complexity to O(1) per pixel for any arbitrary sigma (constant-time implementation). This is based on the observation that the range kernel operates via the translations of a fixed Gaussian over the range space, and that these translated Gaussians can be accurately approximated using the so-called Gauss-polynomials. The overall algorithm emerging from this approximation involves a series of spatial Gaussian filtering, which can be efficiently implemented (in parallel) using separability and recursion. We present some preliminary results to demonstrate that the proposed algorithm compares favorably with some of the existing fast algorithms in terms of speed and accuracy.

关键词： Bilateral filter approximation Gauss-polynomial convolution fast algorithm

来源：评论

学校读者我要写书评

暂无评论

Real-time hands-free immersive image navigation system using Microsoft Kinect 2.0 and Leap Motion Controller 5

Real-time hands-free immersive image navigation system using...

引用

5th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2015

作者： Sreejith, M. Rakesh, Siddharth Gupta, Samik Biswas, Samprit Das, Partha Pratim Department of Computer Science and Engineering Indian Institute of Technology Kharagpur721302 India

ISBN: (纸本)9781467385640

This paper presents a real-time hands-free immersive image navigation system that can respond to various gestures and voice commands. We combine Microsoft Kinect 2.0 and Leap Motion Controller, on a single platform, to define a wide range of hand and finger gestures, and voice commands. Using these we create a robust and natural immersive image navigation experience. At present, the immersive environment is simulated using an 1×3 array of 17 inch Dell monitors. For gesture recognition we use three different algorithms, depending on the nature of gesture and the sensor used to capture it. We use Microsoft Speech API to integrate voice commands to the system. Experiments are conducted with 5 subjects each performing 10 gestures each. The system achieves a user accuracy ranging from 94% to 100% for different hands-free controls. We are currently integrating other sensors including an Eye-Gaze Tracker and extending to 2×4 array of monitors for better immersive experience. © 2015 IEEE.

关键词： Navigation systems

来源：评论

学校读者我要写书评

暂无评论

Foreword

Proceedings of the 2016 International Conference on Image Pr...

引用

proceedings of the 2016 International conference on image processing, computer vision, and Pattern Recognition, IPCV 2016 2016年

作者： Abd-Wahab, Mohd Helmy Al-Bakry, Abbas Al-Holou, Nizar Arabnia, Hamid R. Bhattacharya, Mahua Martinez Castillo, Juan Jose Daimi, Kevin Deligiannidis, Leonidas Djoudi, Lamia Atma Duong, Trung Eshaghian-Wilner, Mary Mehrnoosh Gravvanis, George A. Huang, Ruizhu Jandieri, George Kim, Byung-Gyu Kim, Tai-hoon Korovin, Iakov Lai, Guoming Lee, Hyo Jong Bin Mansor, Muhammad Naufal Marsh, Andrew Mostafaeipour, Ali Park, James J. Patil, Shashikant Ponalagusamy, R. Schaefer, Gerald Singh, Akash Solo, Ashu M.G. Swee, Sim Kok Thomas, Jaya Tinetti, Fernando G. Vladimir, Hahanov Wang, Shiuh-Jeng Yang, Mary Yoe, Hyun You, Jane Zhao, Wenbing Department of Computer Engineering University Tun Hussein Onn Malaysia Malaysia University of IT and Communications Baghdad Iraq Electrical and Computer Engineering Department IEEE/SEM-Computer Chapter University of Detroit Mercy DetroitMI United States University of Georgia United States ABV Indian Institute of Information Technology and Management MHRD Government of India India Acantelys Alan Turing Nikola Tesla Research Group and GIPEB Universidad Nacional Abierta Venezuela Computer Science and Software Engineering Programs Department of Mathematics Computer Science and Software Engineering University of Detroit Mercy DetroitMI United States Department of Computer Information Systems Wentworth Institute of Technology BostonMA United States Synchrone Technologies France Rutgers University State University of New Jersey New Jersey United States University of Southern California California United States Electrical Engineering University of California Los Angeles Los Angeles [UCLA CA United States Advanced Scientific Computing Applied Math and Applications Research Group Applied Mathematics and Numerical Computing and Department of ECE School of Engineering Democritus University of Thrace Xanthi Greece Texas Advanced Computing Center University of Texas AustinTX United States Georgian Technical University Tbilisi Georgia Institute of Cybernetics Georgian Academy of Science Georgia Multimedia Processing CommunicationsLab.[MPCL Department of Computer Science and Engineering College of Engineering SunMoon University Korea Republic of School of Information and Computing Science University of Tasmania Australia Southern Federal University Russia Computer Science and Technology Sun Yat-Sen University Guangzhou China Center for Advanced Image and Information Technology Division of Computer Science and Engineering Chonbuk National University Korea Republic of Faculty of Engineering Technology Kampus Uniciti Alam Universiti Malaysia Perlis UniMAP Malaysi

来源：评论

学校读者我要写书评

暂无评论

Handwritten text recognition in Odia script using Hidden Markov Model

Handwritten text recognition in Odia script using Hidden Mar...

引用

National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Suman Bhoi D. P. Dogra P. P. Roy School of Electrical Sciences Indian Institute of Technology Bhubaneswar India Department of Computer Science and Engineering Indian Institute of Technology Roorkee India

This paper presents a system for unconstrained handwritten Odia text recognition using Hidden Markov Model (HMM) framework. Existing literature for Odia text recognition works primarily with individual isolated characters. In this study we introduce a Odia dataset of word samples collected from different professionals. Concavity feature from each word image is extracted in our approach. Next, the features are fed to HMM-based sequential classifier for recognition. The experiment has been performed on a large dataset consisting of 4000 words and results obtained are encouraging.

关键词： Text recognition Hidden Markov models Character recognition Feature extraction Training image recognition Handwriting recognition

来源：评论

学校读者我要写书评

暂无评论

Stamp and logo detection from document images by finding outliers

Stamp and logo detection from document images by finding out...

引用

National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Soumyadeep Dey Jayanta Mukherjee Shamik Sural School of Information Technology Indian Institute of Technology Kharagpur Department of Computer Science and Engineering Indian Institute of Technology Kharagpur

Stamps and logos are generally used for authenticating the source of a document. For automatic document processing, identification and segmentation of stamps and logos are essential. In the past, methods to detect stamps and logos were limited to specific shapes, colors, or training data. However, stamps and logos can be of any shape or color. In this paper, we have proposed a novel stamp and logo detection technique. Our approach is based on the fact that stamps and logos, in general, are not the primary contents of a document. This fact motivates us to propose an outlier detection technique for the same purpose in a feature space. Based on some geometric features, the detected outliers are classified as stamps and logos. Our method shows good performance in case of separating them from text. Moreover, this technique is capable of detecting logos as well as chromatic and achromatic stamps.

关键词： image color analysis Feature extraction image segmentation Shape Rubber Detection algorithms Electronic mail

来源：评论

学校读者我要写书评

暂无评论

Feature extraction and identification of indian currency notes

Feature extraction and identification of Indian currency not...

引用

National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Snigdha Kamal Simarpreet Singh Chawla Nidhi Goel Balasubramanian Raman Dept. of Electronics and Communications Engineering Delhi Technological University New Delhi Dept. of Computer Science and Engineering Indian Institute of Technology Roorkee

Banknote identification systems, with their wide applications in Automated Teller Machines (ATMs), vending machines and currency recognition aids for the visually impaired, are one of the most widely researched fields today. The present paper proposes a novel technique for recognition of indian currency banknotes by adopting a modular approach. The proposed work extracts distinct and unique features of indian currency notes such as central numeral, RBI seal, colour band and identification mark for the visually impaired and employs algorithms optimized for the detection of each specific feature. The proposed technique has been evaluated over a large data set for recognition of indian banknotes of various denominations and physical conditions including new notes, wrinkled notes and non-uniform illumination. Thorough analysis yields a high true positive rate (desired feature identified correctly) of 95.11% and a low false positive rate (undesired feature recognition minimized) of 0.09765% for emblem recognition, an accuracy of 97.02% for central numeral detection, and 100% accuracies for both recognition of identification mark and colour matching in CIE LAB colour space.

关键词： image color analysis Feature extraction Detectors image recognition Histograms Visualization Neural networks

来源：评论

学校读者我要写书评

暂无评论

Three dimensional reconstruction of cylindrical pellet using stereo vision

Three dimensional reconstruction of cylindrical pellet using...

引用

National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Arvind Sharma Shraddha Chaudhary Sumantra Dutta Roy Prakash Chand National Institute of Technology Kurukshetra Indian Institute of Technology Delhi Indian Institute of Technology Delhi New Delhi Delhi IN

In the present work, we propose a framework for retrieving metric information of featureless cylindrical pellet imaged through stereo vision. Considering the isometry property, relative affine structure which is an invariant that depends on the depth of the point is employed for obtaining the information. This method skips considering vanishing points for depth estimation, and hence the errors are reduced remarkably as no points are assumed to be at infinity. Real world measurements are taken and the metrics of a selected reference point is assumed to be known. With these minimal information the mapping between the images using the relative affine structure is carried out that enables the 3D reconstruction. This work also blends the concepts of 360 degree rotational symmetry and orthogonal planes with the stereo vision that has minimized the error percentage. The results presented by the theory will have an impact on the design of 3D reconstruction systems for computer vision and its applications.

关键词： Nickel Cameras Three-dimensional displays Stereo vision Measurement Mathematical model Estimation

来源：评论

学校读者我要写书评

暂无评论

Flash/no-flash image fusion using dictionary learning

Flash/no-flash image fusion using dictionary learning

引用

National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Ekta Samani Vikas Gupta Shanmuganathan Raman Indian Institute of Technology Gandhinagar India

An image captured in dark environment usually has ambient illumination, but the image looks dark and noisy. However, the use of flash can introduce unwanted artifacts such as sharp shadows at silhouettes, red eyes, and non-uniform brightness in the image. We propose a new framework to enhance photographs captured in dark environments by combining the best features from a flash and a no-flash image. We use sparse and redundant dictionary learning based approach to denoise the no-flash image. A weighted least squares framework is used to transfer sharp details from the flash image into the no-flash image. We show that our approach is simple and able to generate better images than that of the state-of-the-art flash/no-flash fusion method.

关键词： image color analysis Dictionaries Noise reduction Photography image edge detection Lighting Colored noise

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：