检索结果-内蒙古大学图书馆

2nd International Conference on Current Trends In Engineering and Technology (ICCTET)

作者： Mohana, H. S. Navya, K. Rajithkumar, B. K. Nagesh, C. MCE Dept Instrumentat & Technol Hassan Karnataka India MCE Dept Elect & Commun Hassan Karnataka India MCE Dept Elect & Elect Hassan Karnataka India

ISBN: (纸本)9781479979868

Indian stone inscriptions play an important role in the reconstruction of the history of India. Kannada is considered the oldest language next to Sanskrit, Prakrit, and Tamil. According to linguists, Tamil and Kannada branched off simultaneously from the Dravidian language of South India before the Christian Era. Indian epigraphy becomes more widespread over the 1st millennium, engraved on the faces of cliffs, on pillars, on tablets of stone, drawn in caves and on rocks, some gouged into the bedrock. Later they were also inscribed on palm leaves, coins, copper plates, and on temple walls. Preserving the heritage of ancient civilizations furthers the education and understanding of world cultures that may help to promote world peace. Without digital preservation of important cultural sites, future generations may never know the achievements of past civilizations, our heritage. As pollution, wars, and natural disasters take their toll on these ancient structures, it is increasingly important to accomplish preservation of those historical monuments for cultural heritage of a nation. Here in the paper, we took different images of stone inscriptions of Kannada characters from various regions in Karnataka. The images are processed such that its character is preprocessed, matched and extracted. Computer vision is concerned with the theory for building artificial systems that obtain information from images. They also document the development and use of written languages in India.

关键词： Stone inscriptions Kannada characters Image processing sift algorithm character extraction

来源：评论

学校读者我要写书评

暂无评论

The reconstruction for Han Dynasty stone images based on three-dimensional vision

The reconstruction for Han Dynasty stone images based on thr...

引用

International Conference on Mechatronics Engineering and Computing Technology (ICMECT)

作者： Pan Guangdong Linyi Univ Yishui 276400 Shandong Peoples R China

ISBN: (纸本)9783038351153

Mainly studying the three-dimensional reconstruction for multiple Han Dynasty stone images, this paper proposes a 3D reconstruction algorithm based on two images. The author analyzes the basic principle of sift matching points detection according to Epipolar geometry constraints and projective transformation of images in 2D plane, and establishes mathematical model for the 3D reconstruction on foundation of sequence images. The feasibility of 3D reconstruction based on the sequence images is approved by simulation for three gray-scale Han Dynasty stone digital images which provides a new research way for identifying the feature of a target by the camera.

关键词： 3D reconstruction sift algorithm Han Dynasty stone images

来源：评论

学校读者我要写书评

暂无评论

Remote Sensing Image Registration Using sift and Vegetation Index Analysis

Remote Sensing Image Registration Using SIFT and Vegetation ...

引用

International Congress on Image and Signal Processing

作者： Buyun Lv Liaoying Zhao Xiaorun Li Inst. of Comput. Applic. Hangzhou Dianzi Univ. Hangzhou China

ISBN: (纸本)9781479958368

Aiming at the high accuracy and speed requirements of images registration for multiband data or hyperspectral data, a new method which combines scale invariant feature transform (sift) with vegetation index analysis is put forward. Firstly, feature points extracted by sift algorithm are classified into two sets -points on vegetation area and points on non-vegetation area, which is based on vegetation index;then the two sets of feature points are matched separately using spectral angle distance as the similarity measure. Transformation parameters are obtained by least square method after mismatched points are removed. Experimental results show that the proposed method achieves higher speed as well as good registration accuracy.

关键词： geophysical image processing hyperspectral imaging image matching image registration least squares approximations vegetation vegetation mapping feature points hyperspectral data least square method multiband data nonvegetation area remote sensing image registration accuracy scale invariant feature transform algorithm similarity measure spectral angle distance transformation parameters vegetation index analysis Accuracy algorithm design and analysis Feature extraction Image registration Indexes Remote sensing Vegetation mapping sift algorithm vegetation index

来源：评论

学校读者我要写书评

暂无评论

A non-rigid cardiac image registration method based on an optical flow model

引用

OPTIK 2013年第20期124卷 4266-4273页

作者： Lu, Xiaoqi Zhao, Yongjie Zhang, Baohua Wu, Jianshuai Li, Na Jia, Weitao Inner Mongolia Univ Sci & Technol Sch Informat Engn Baotou City 014010 Inner Mongolia Peoples R China

According to non-rigid medical image registration, new method of classification registration is proposed. First, Feature points are extracted based on sift (Scale Invariant Feature Transform) from reference images and floating images to match feature points. And the coarse registration is performed using the least square method. Then the precise registration is achieved using the optical flow model algorithm. sift algorithm is based on local image features that are with good scale, rotation and illumination invariance. Optical flow algorithm does not extract features and use the image gray information directly, and its registration speed is faster. The both algorithms are complementary. sift algorithm is used for improving the convergence speed of optical flow algorithm, and optical flow algorithm makes the registration result more accurate. The experimental results prove that the algorithm can improve the accuracy of the non-rigid medical image registration and enhance the convergence speed. Therefore, the algorithm has some advantages in the image registration. (c) 2013 Elsevier GmbH. All rights reserved.

关键词： Non-rigid registration Medical image sift algorithm Optical flow model

来源：评论

学校读者我要写书评

暂无评论

A Novel Retake Detection Using LCS and sift algorithm

引用

10th Pacific Rim Conference on Multimedia

作者： Cooharojananone, Nagul Putpuek, Narongsak Satoh, Shin'ichi Lursinsap, Chidchanok Chulalongkorn Univ Fac Sci Dept Math Adv Virtual & Intelligent Comp Ctr Bangkok 10330 Thailand Natl Inst Informat Tokyo 1018430 Japan

ISBN: (纸本)9783642104664

In this paper, a method to determine retake in rushes videos is proposed This method first, divides the video into shots, and then each shot that contains a single color, color hat or clapper board is eliminated In each remaining shot, the similarity between consecutive flames is calculated using a matching algorithm and then converted into a string sequence The similarity between two sequence is evaluated by the Longest Common Subsequence algorithm (LCS) This proposed sift - LCS looted method was applied to the TRECVID BBC rushes videos of 2007 and 2008 as a competence test The results support the notion that the proposed method provides a reasonably high degree of accuracy, and identifies the likely causes of pool accuracy lot further improvements

关键词： sift algorithm Sequence matching LCS Retake detection Object location extraction

来源：评论

学校读者我要写书评

暂无评论

A reliable algorithm for image matching based on sift

引用

Journal of Harbin Institute of Technology(New Series) 2012年第4期19卷 90-95页

作者：霍炬杨宁曹茂永杨明 Dept.of Electrical Engineering Harbin Institute of Technology Control and Simulation Center Harbin Institute of Technology College of Information and Electrical Engineering Shan Dong University of Science and Technology

A novel algorithm is presented to make the results of image matching more reliable and accurate based on sift (Scale Invariant Feature Transform). sift algorithm has been identified as the most resistant matching algorithm to common image deformations; however, if there are similar regions in images, sift algorithm still generates some analogical descriptors and provides many mismatches. This paper examines the local image descriptor used by sift and presents a new algorithm by integrating sift with two-dimensional moment invariants and disparity gradient to improve the matching results. In the new algorithm, decision tree is used, and the whole matching process is divided into three levels with different primitives. Matching points are considered as correct ones only when they satisfy all the three similarity measurements. Experiment results demonstrate that the new approach is more reliable and accurate.

关键词： image matching sift algorithm two-dimensional moment invariants disparity gradient

来源：评论

学校读者我要写书评

暂无评论

Application of Fuzzy Points in Msift for Threat Objects Detection

Application of Fuzzy Points in MSIFT for Threat Objects Dete...

引用

4th International Conference on Intelligent Systems, Modelling and Simulation (ISMS)

作者： Shanta, Mohamed Mustafa Prasad, Svav Rahman, Abdul Zahugi, Emaad Lingayas Univ Dept Comp Sci & Engn Faridabad 121002 India

ISBN: (纸本)9780769549637;9781467356534

The detection of threat objects using X-ray luggage scan images is a challenging task for security. Most Computer Aided Screening (CAS) is still based on the manual detection of potential threat objects by human expert's where chances of human errors is quite high as thousands of commuter need to be scanned every day. Proposed sytem uses the very naive concept of extended fuzzy logic based shape detection technique. In this paper Scale-invariant feature transform (sift) algorithm has been modified by using the concept of fuzzy points of fuzzy geometry for finger point matching. The criterion used in CAS system is the number of matched key-points obtained from the Msift algorithm with objects key-points data base. The proposed naive approach shows significant impact in the luggage screening.

关键词： X-rays f-points f-geometry Key points extraction sift algorithm extended fuzzy logic

来源：评论

学校读者我要写书评

暂无评论

The Research of TDI-CCDs imagery stitching using information mending algorithm

The Research of TDI-CCDs imagery stitching using information...

引用

5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Imaging Sensors and Applications

作者： Meng, Weican Zhu, Shulong Zhu, Baoshan Bian, Shaojun Informat Engn Univ Zhengzhou 450052 Peoples R China Beijing Novel Supertv Digital TV Technol Co Ltd Beijing 100085 Peoples R China

ISBN: (纸本)9780819497772

Non-collinear TDI-CCDs sensor was introduced and its imaging characteristics were analyzed. An information mending algorithm was adopted to stitch TDI-CCDs imagery. Key points of the algorithm are image matching and modeling of coordinate transformation between two images. Particularly, piecewise polynomial transformation model was adopted to describe the shift, rotation and the zoom factor of TDI-CCDs imagery after extracting tie points using sift algorithm. Coefficients of polynomial transformation were obtained through the solution of error equation constructed by large numbers of tie points and finally TDI-CCDs imagery was geometrically stitched. A certain high resolution satellite remotely sensed imagery were adopted to verify this algorithm. The experiments show that total precision of this information mending stitching algorithm reaches sub-pixel level.

关键词： TDI-CCDs image stitching sift algorithm tie points piecewise-polynomial

来源：评论

学校读者我要写书评

暂无评论

Image local invariant feature description fusing multiple information

Image local invariant feature description fusing multiple in...

引用

5th International Conference on Machine Vision (ICMV) - Computer Vision, Image Analysis and Processing

作者： Zhu, Qidan Liu, Xue Cai, Chengtao Liu, Qingchen Harbin Engn Univ Coll Automat Harbin 150001 Peoples R China

ISBN: (纸本)9780819495877

In order to improve the invariance of the initial sift (Scale Invariant Feature Transform) and reduce mismatches when multiple local regions are similar, a novel method for image local invariant feature description based on sift is proposed. We introduce a new texture feature descriptor called center-symmetric improved local ternary patterns (CS-ILTP) that is a modified version of the well-known local binary patterns (LBP) feature and then fuse it with the global context information as the local feature descriptor in the sift algorithm. In the feature detection step, through iterative transformation, the initial feature point derived from the sift converges to affine invariant point and affine invariant region is extracted. In the feature description step, the dominant orientation is computed for each feature point. Then the image local feature descriptor is obtained by calculating the CS-ILTP and global context respectively. The feature matching experiment shows that the image local invariant feature descriptor present in this paper is invariant to image affine, scaling, rotation, illumination changes and so on. What's more, the number of correct matching features in artificial landmarks matching has increased by nearly 91% compared with the sift algorithm. The algorithm with high robustness and uniqueness is useful for the fields of robot navigation, image retrieval, etc.

关键词： local invariant feature affine invariance sift algorithm LBP descriptor global context

来源：评论

学校读者我要写书评

暂无评论

An Improved sift algorithm for Feature Points Matching of Dairy Cow Images

An Improved SIFT Algorithm for Feature Points Matching of Da...

引用

第三届国际计算机及计算技术农业应用学术会议

作者： Lizhong Wang Vocational and Technical College Inner Mongolia Agricultural university Hohhot,Inner Mongolia,China Shuoshi Ma College of Mechanical and Electrical Engineering Inner Mongolia Agricultural university Hohhot,Inner Mongolia,China Heru Xue and Zhenjie Hou College of Computer and Information Engineering Inner Mongolia Agricultural university Hohhot,Inner Mongolia,China

The conformation is the main parameter in dairy cow appraisal;hence,it is necessary for the measuring and evaluating of dairy conformation to use machine vision technology in 3D *** feature points detecting and matching are the pivotal steps in 3D *** conventional sift feature points matching algorithm has shortcomings of too large search area and low efficiency,An improved sift feature points matching algorithm is proposed to reduce the search range from both row and column directions based on binocular vision principle.2.7 times of in speed by the improved algorithm has been shown in the experiments compared with that of the conventional algorithm with the same matching precision.

关键词： diary cow conformation feature points detecting feature points matching sift algorithm

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：