检索结果-内蒙古大学图书馆

Pacific-Asia Conference on Circuits, Communications and System

作者： Qi, Xiaorui Ma, Lei Sun, Changjiang Liu, Jiang School of Information Science and Engineering Shandong University Shandong China Shandong Oumasoft Co. Ltd Research Institute of Digital Image Processing Shandong China

ISBN: (纸本)9781457708565

This paper makes a study on fast skew angle detection for document images. Given a document image and return the skew angle. First this algorithm computes the horizontal gradient image by the input image and then merges the characters area in the text line block, to get the valid text line by non-text area filtering, at last, statistic the text line characteristics to estimate the input image skew angle. This paper gives the processing of the algorithm. The experiment results indicate that this algorithm is accurate and effective, also with robustness. The algorithm can be applied in realtime processing system, by the more this algorithm can be applied in automatic de-skew for picture and text mixed images, layout analysis, picture and text segmentation and content-based retrieval. © 2011 IEEE.

关键词： Content based retrieval

来源：评论

学校读者我要写书评

暂无评论

Automatic evaluation method for Chinese handwritten ability

Automatic evaluation method for Chinese handwritten ability

引用

2nd International Conference on Multimedia Technology, ICMT 2011

作者： Zhang, Huaying Liu, Jiang Chen, Xia Wang, Xichang Sun, Changjiang Shandong Oumasoft Co. Ltd Research Institute of Digital Image Processing Shandong China Shandong University School of Information Science and Engineering Shandong China

ISBN: (纸本)9781612847740

In this paper, we proposed an automatic evaluation method for Chinese handwritten ability, research on information card design, algorithms of image processing and the index computation of automatic evaluation. image processing includes distortions detecting, stretching detecting, image de-skewing and image enhancement, the index computation of automatic evaluation based on features of global character, distance distributions and grid blocks distributions. Results of this method applied show that the efficiency of evaluation is high, ensure the consistency of the large-scale test standard, score of evaluations show that the computation index accord with subjective feelings. © 2011 IEEE.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

Anomaly detection in hyperspectral images based spatial spectral classification 7

Anomaly detection in hyperspectral images based spatial spec...

引用

7th International Conference on Sciences of Electronics, Technologies of information and Telecommunications, SETIT 2016

作者： Ben Salem, Manel Ettabaa, Karim Saheb Bouhlel, Med Salim Research Unit: Sciences and Technologies of Image and Telecommunications Higher Institute of Biotechnology University of Sfax Sfax Tunisia Laboratory of Image and Information Processing Telecom Bretagne Technople Brest IroiseCS81828 France

ISBN: (纸本)9781509047123

Anomaly detection in hyperspectral images aims at detecting small size objects of unknown spectra. The major problem with anomaly detection is the absence of prior knowledge. Consequently, the extraction of true anomalies from the background and noise is a challenging task. In fact, the image scene already contains the background, noises and anomalous pixels and even in presence of prior knowledge, the differentiation between these contents is often challenging and can lead to a high false alarm rate. In this paper, a new approach for anomaly detection is proposed. The approach aims at generating knowledge about the scene before anomaly detection. This knowledge is derived from a semi-supervised SVM classification based on the betweenness centrality clustering of the spatial and spectral graph of the image. Anomaly detection is performed then, based on the Mahalanobis distance between different classes of the image. Our experimental results show improvement in the detection rate compared to the benchmark anomaly detectors. © 2016 IEEE.

关键词： image classification

来源：评论

学校读者我要写书评

暂无评论

Text line detection based on mutation analysis

Text line detection based on mutation analysis

引用

2013 5th International Conference on Computational and information Sciences, ICCIS 2013

作者： Hou, Dewen Wang, Xichang Liu, Jiang Chen, Xia Key Laboratory for Distributed Computer Software School of Information and Science Engineering Shandong Normal University Shandong China Shandong Oumasoft Co. Ltd Research Institute of Digital Image Processing Shandong China

ISBN: (纸本)9780769550046

A text line detection method based on wavelet transformation and mutation analysis is proposed in this paper. First the character density image is acquired from the input document image by the project function with strips, and then the density image is analyzed by wavelet transformation where the Gaussian or its derivative function is used as the wavelet basis. The local peak positions indicate the line texture which will be continuous and single pixel. Because of the statistical properties of project function and wavelet transformation of mutations signal detection, this algorithm is not sensitive to noise and warped distortions. Experiments show that this algorithm is accurate and robust. © 2013 IEEE.

关键词： Signal analysis

来源：评论

学校读者我要写书评

暂无评论

New hybrid scheme of image watermarking robust vs. JPEG and jpeg2000 compression

New hybrid scheme of image watermarking robust vs. JPEG and ...

引用

2004 IEEE International Conference on Industrial Technology, ICIT

作者： Ne Trichili, Han Bouhlel, Mohamed Salim Solaiman, Bassel Research Unit: Sciences and Technologies of Image and Telecommunications Higher Institute of Biotechnology of Sfax ENIS PB W 3038 Sfax Tunisia Department: Image and Information Processing ENST Bretagne Technop le Brest-Iroise 29238 Brest Cedex 3 France

digital contents show great advantages in terms of storage qnd processing. Furthermore, they can be reproduced without loss of quality, and allow for easy and imperceptible modifications. However, this will have its problems. In fact, intellectual properties are becoming harder to protect and so are original contents. That's why we need nex techniques to be developped such are image watermarking. In this paper, we present a new scheme of image watermarking to guard intellectual properties and to secure the content of digital images. Our developped algorithm will be also tested against image compression, with its strandards: JPEG and JPEG2000. © 2004 IEEE.

关键词： digital watermarking

来源：评论

学校读者我要写书评

暂无评论

Reversible adversarial information hiding based on the interpretation of neural network

引用

digital Signal processing 2025年 165卷

作者： Ruiping Li Xi Wang Qingchen Cui Ming Li Information Construction and Management Office Henan Normal University Xinxiang 453007 China School of Artificial Intelligence and Software Engineering Nanyang Normal University Nanyang 473061 China Henan Engineering Research Center of Intelligent Processing for Big Data of Digital Image Henan Nanyang 473000China College of Information Engineering Zhoukou Vocational College of Arts and Science Zhoukou 466000 China College of Computer and Information Engineering Henan Normal University Xinxiang 453007 China Key Laboratory of Artificial Intelligence and Personalized Learning in Education of Henan Province Xinxiang 453007China

The emerging technology of adversarial information hiding can generate adversarial example by embedding useful information instead of meaningless noise into the host image. The obtained image can deceive classification models and therefore equip the function of privacy protection. However, existing research mainly focuses on the effectiveness of attack rather than preserving the integrity of the protected image. It cannot meet the requirements in the fields such as medical imaging, financial transactions, and copyright protection where users' raw data should not be damaged. Therefore, we propose a novel reversible adversarial information hiding based on interpretability of neural networks. The Grad-CAM-generated heatmap is employed to identify a minimal set of high-impact pixels for embedding, ensuring that minor modifications can induce significant misclassification. Then, the user-defined secret bits are embedded into the identified pixels by using difference expansion. After extraction, the original image can be perfectly restored. The technologies of adversarial example and reversible information hiding are combined to accommodate wider applications. The proposed method is tested on CIFAR-10 with three different neural architectures (NiN, AlexNet, ResNet). Experimental results show that the proposed method can completely restore the cover image while ensuring the extraction of the embedded data and misleading the neural network.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Use of high resolution optical and radar imagery for intelligence and situational awareness in urban areas

Use of high resolution optical and radar imagery for intelli...

引用

2007 Urban Remote Sensing Joint Event, URS

作者： Van Den Broek, Bert Dekker, Rob Gutjahr, Karlheinz Raggam, Hannes Business Unit Observation Systems TNO Defence Security and Safety P.O. Box 96864 2509 JG The Hague Netherlands Institute of Digital Image Processing JOANNEUM Research ForschungsgesmbH Wastiangasse 6 A - 8010 Graz Austria

ISBN: (纸本)1424407125

We have used high resolution optical satellite stereo data to generate a digital surface model containing building heights, so that 3-dimensional information is available for the purpose of urban situational awareness. In addition we have applied change detection techniques to Radarsat fine beam imagery with a resolution of 10 meters to find infrastructural changes and to assess damages in order to obtain up-to-date infrastructural information. We show that the changes obtained from the radar data can be characterized using other data, such as high resolution optical imagery, maps, and data from GIS. Furthermore we show how these results can be combined with a digital surface model to produce an actual description of the urban area needed for urban situational awareness. ©2007 IEEE.

关键词： Radar imaging

来源：评论

学校读者我要写书评

暂无评论

A skew angle detection algorithm based on maximum gradient difference

A skew angle detection algorithm based on maximum gradient d...

引用

2011 International Conference on Transportation, Mechanical, and Electrical Engineering, TMEE 2011

作者： Wang, Dan Wang, Xichang Liu, Jiang Institute of Information Science and Engineering Shandong Normal University Shandong Province Key Laboratory for Distributed Computer Software Novel Technology Shandong China Shandong Oumasoft Co. Ltd Research Institute of Digital Image Processing Shandong China

ISBN: (纸本)9781457717017

In order to resolve the problem of skew phenomenon in the handwritten document image during the scanning process, a new skew angle detection algorithm based on maximum gradient difference as well as Hough transform was proposed in the paper. Firstly, text lines are labeled by using maximum gradient difference, and then we use the method of non-text filtering to get rid of shorter text lines and dots. Finally, margin information is extracted after refining on text lines, and two-stage Hough transform is made to the margin extracted information with the strategy varying from "coarse" to "fine" strategy, calculating the skew angle of document image which is fixed by the average of several longest lines. Experiment results shows that the algorithm detects skew angles of document image more rapidly and accurately than Hough transform alone. © 2011 IEEE.

关键词： Hough transforms

来源：评论

学校读者我要写书评

暂无评论

Further optimisations of constant Q cepstral processing for integrated utterance and text-dependent speaker verification

Further optimisations of constant Q cepstral processing for ...

引用

IEEE Spoken Language Technology Workshop

作者： Héctor Delgado Massimiliano Todisco Md Sahidullah Achintya K. Sarkar Nicholas Evans Tomi Kinnunen Zheng-Hua Tan Department of Digital Security EURECOM France Speech and Image Processing Unit University of Eastern Finland Finland Signal and Information Processing Aalborg University Denmark

ISBN: (纸本)9781509049042

Many authentication applications involving automatic speaker verification (ASV) demand robust performance using short-duration, fixed or prompted text utterances. Text constraints not only reduce the phone-mismatch between enrolment and test utterances, which generally leads to improved performance, but also provide an ancillary level of security. This can take the form of explicit utterance verification (UV). An integrated UV + ASV system should then verify access attempts which contain not just the expected speaker, but also the expected text content. This paper presents such a system and introduces new features which are used for both UV and ASV tasks. Based upon multi-resolution, spectro-temporal analysis and when fused with more traditional parameterisations, the new features not only generally outperform Mel-frequency cepstral coefficients, but also are shown to be complementary when fusing systems at score level. Finally, the joint operation of UV and ASV greatly decreases false acceptances for unmatched text trials.

关键词： Hidden Markov models Cepstral analysis Time-frequency analysis Transforms Speech Adaptation models Algorithm design and analysis

来源：评论

学校读者我要写书评

暂无评论

Anomaly detection in hyperspectral images based spatial spectral classification

Anomaly detection in hyperspectral images based spatial spec...

引用

International Conference on Sciences of Electronics, Technologies of information and Telecommunications (SETIT)

作者： Manel Ben Salem Karim Saheb Ettabaâ Med Salim Bouhlel Research Unit: Sciences and Technologies of Image and Telecommunications University of Sfax Sfax Tunisia Telecom Bretagne Laboratory of Image and Information Processing

ISBN: (纸本)9781509047130

关键词： image edge detection Detectors Kernel Telecommunications Clustering algorithms Hyperspectral sensors Support vector machines

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：