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Blind Medical image Watermarking Technique for Secure Recovery of Hidden Data

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Communications in Computer and Information Science 2011年 205 M4D卷 185-192页

作者： Basheera, Shaik Prakash, D.Bhanu Naganjaneyulu, P.V. Andhra Pradesh India Andhra Pradesh India Andhra Pradesh India

ISBN: (纸本)9783642240546

digital watermarking is one of solutions to protect intellectual properties and copyright by hiding information, such as a random sequence or a logo, into digital media. This paper deals with a new blind robust watermarking technique for embedding secrete medical information as a watermark in a host image. As a host image a color medical image is used, and a blue plane goes through the DWT. The diagnosis information of the patent is used as a watermark binary image. The embedding process is done in the LL Sub band of the blue plane of the host image, for DWT a bi-orthogonal wavelet filter is used for corresponding. This can be extended for store more than one watermark information in one medical image by embedding the watermark images in the different sub bands of the host image. The resulting watermark is having good PSNR and robust against different attacks. © Springer-Verlag Berlin Heidelberg 2011.

关键词： image watermarking

Iris Liveness Detection for Semi-transparent Contact Lens Spoofing

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Communications in Computer and Information Science 2011年 205 M4D卷 249-256页

作者： Puhan, Niladri B. Natarajan, Sudha Suhas Hegde, A. International Institute of Information Technology Bangalore India School of Computer Engineering Nanyang Technological University Singapore

ISBN: (纸本)9783642240546

Park's proposed liveness detection technique in [5] detects the fake irises by checking the pupil size variation and textural feature change in local iris area. A new semi-transparent contact lens based spoofing method is designed to overcome the liveness technique. The spoofing method generates artificial texture image by replicating imposter's natural iris texture adjacent to pupil boundary. Simulation results show that by printing the artificial texture image on semi-transparent contact lens, an imposter can pass through the liveness detection to illegally make an entry despite being in negative-watch lists. A countermeasure algorithm is suggested for improving the liveness detection technique. © Springer-Verlag Berlin Heidelberg 2011.

关键词： Biometrics

Design of Optimized Neuro-Wavelet Based Hybrid Model for image Compression

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Communications in Computer and Information Science 2011年 205 M4D卷 96-107页

作者： Gambhir, Deepak Rajpal, Navin Singh, Vipula ECE Amity School of Engineering and Technology Bijwasan New Delhi India USIT Guru Gobind Singh Inderprastha University Dwarka New Delhi India ECE RNS Institute of Technology Bangalore India

ISBN: (纸本)9783642240546

images are in its standard canonical form for a matrix have significant amount of redundant data. Thus image compression methods always under wide attention for efficient multimedia data transmission and storage. This paper concerned with the design of an optimized hybrid Neuro-Wavelet based model for image compression. In this design first the images are decomposed to various sub-band via wavelet transform and then they are fed to different supervised Neural Networks which are optimized with Linear Programming. The simulation results show the clear improvement over the existing methods objectively by PSNR and subjectively by visual appearance. © Springer-Verlag Berlin Heidelberg 2011.

关键词： image compression

Writer Based Handwritten Document image Retrieval Using Contourlet Transform

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Communications in Computer and Information Science 2011年 205 M4D卷 108-117页

作者： Shirdhonkar, M.S. Kokare, Manesh B. College of Engineering B. L. D. E. A's Bijapur India Institute of Engineering and Technology S.G.G.S Nanded India

ISBN: (纸本)9783642240546

Many techniques have been reported for handwritten based document image retrieval. This paper proposes a novel method by using Contourlet Transform (CT) for feature extraction of document images which achieves high retrieval rate. The handwriting of different people is often visually distinctive;we take a global approach based on texture analysis, where each writer's handwriting is regarded as a different texture. The Canberra distance is used as similarity measure in proposed system. A retrieval result with proposed method is very promising with precision and recall as compared to the existing system. © Springer-Verlag Berlin Heidelberg 2011.

关键词： image enhancement

Unsupervised Medical image Classification Based on Skew Gaussian Mixture Model and Hierarchical Clustering Algorithm

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Communications in Computer and Information Science 2011年 205卷 65-74页

作者： Vadaparthi, Nagesh Srinivas, Yarramalle Suresh Varma, P. Dept. of I.T. M.V.G.R. College of Engineering Vizianagaram India Dept. of IT GITAM University Visakhapatnam India Aadikavi Nannaya University Rajahmundry India

ISBN: (纸本)9783642240546

A novel segmentation algorithm for brain images is proposed using finite skew Gaussian mixture model. Recently, much work has been reported in medical image segmentation. Among these techniques, finite Gaussian mixture models are considered to be more recent and accurate. However, in this approach, a number of segments that an image can be divided are taken through apriori and if these segments are not initiated properly it leads to misclassification. Hence, to overcome this disadvantage, we proposed an algorithm for Medical image Segmentation using Hierarchical Clustering and Skew Gaussian Mixture. The experimentation is done with four different brain images and the results obtained are evaluated using Quality metrics. © Springer-Verlag Berlin Heidelberg 2011.

关键词： Gaussian distribution

image processing of full-field strain data and its use in model updating

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Image processing of full-field strain data and its use in mo...

9th international conference on Damage Assessment of structures (DAMAS)

作者： Wang, W. Mottershead, J. E. Sebastian, C. M. Patterson, E. A. Univ Liverpool Ctr Engn Dynam Sch Engn Liverpool L69 3GH Merseyside England Michigan State Univ Composite Vehicle Res Ctr E Lansing MI 48824 USA Michigan State Univ Dept Mech Engn E Lansing MI 48824 USA Michigan State Univ Dept Chem Engn & Mat Sci E Lansing MI 48824 USA

Finite element model updating is an inverse problem based on measured structural outputs, typically natural frequencies. Full-field responses such as static stress/strain patterns and vibration mode shapes contain valuable information for model updating but within large volumes of highly-redundant data. pattern recognition and image processing provide feasible techniques to extract effective and efficient information, often known as shape features, from this data. For instance, the Zernike polynomials having the properties of orthogonality and rotational invariance are powerful decomposition kernels for a shape defined within a unit circle. In this paper, full field strain patterns for a specimen, in the form of a square plate with a circular hole, under a tensile load are considered. Effective shape features can be constructed by a set of modified Zernike polynomials. The modification includes the application of a weighting function to the Zernike polynomials so that high strain magnitudes around the hole are well represented. The Gram-Schmidt process is then used to ensure orthogonality for the obtained decomposition kernels over the domain of the specimen. The difference between full-field strain patterns measured by digital image correlation (DIC) and reconstructed using 15 shape features (Zernike moment descriptors, ZMDs) at different steps in the elasto-plastic deformation of the specimen is found to be very small. It is significant that only a very small number of shape features are necessary and sufficient to represent the full-field data. Model updating of nonlinear elasto-plastic material properties is carried out by adjusting the parameters of a FE model until the FE strain pattern converges upon the measured strains as determined using ZMDs.

关键词： Inverse problems

VLSI Architecture for Compressed Domain Video Watermarking

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Communications in Computer and Information Science 2011年 205 M4D卷 405-416页

作者： Mohankumar, N. Nirmala Devi, M. Badari Nath, D. Scaria, Arun VLSI Design Research Group Department of Electronics and Communication Engineering School of Engineering Amrita Vishwa Vidyapeetham Coimbatore India

ISBN: (纸本)9783642240546

digital watermarking has become very important for protecting the authenticity of multimedia objects as they become easier to copy, exchange, and modify due to the large diffusion of powerful personal computers. The video has been utilized in a variety of applications such as video editing, Internet video distribution, wireless video communications etc. Some of these applications are likely to get great benefit from video watermarking technology. Main objective of this research is to design robust perceptual video watermarking targeted at achieving better performance and reliability. Due to its robust nature, Discrete Cosine Transform (DCT) watermarking was chosen in this work to accomplish video copyright protection. The watermark is inserted in the video stream during compression, resulting in an optimized compression/watermarking algorithm and system. © Springer-Verlag Berlin Heidelberg 2011.

关键词： image compression

Semantic Learning in Interactive image Retrieval

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Communications in Computer and Information Science 2011年 205 M4D卷 118-127页

作者： Patil, Pushpa B. Kokare, Manesh Dept.of Computer Science and Engg. BLDEA's V.P.Dr. P. G. Halakatti CET Bijapur India Dept. of Electronic and Telecommunication S.G.G.S Institute of Engineering and Technology Nanded India

ISBN: (纸本)9783642240546

This paper presents content-based image retrieval frameworks with relevance feedback based on AdaBoost learning method. As we know relevance feedback (RF) is online process, so we have optimized the learning process by considering the most positive image selection on each feedback iteration. To learn the system we have used AdaBoost. The main significances of our system are to address the small training sample and to reduce retrieval time. Experiments are conducted on 1856 texture images to demonstrate the effectiveness of the proposed framework. These experiments employed large image databases and combined RCWFs and DT-CWT texture descriptors to represent content of the images. © Springer-Verlag Berlin Heidelberg 2011.

关键词： Adaptive boosting

Segmentation of Micro Calcification Clusters in digital Mammograms Using UIQI

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Communications in Computer and Information Science 2011年 205 M4D卷 165-172页

作者： Chandra Murty, Patnala S.R. Sudheer, T. Sreenivasa Reddy, E. Department of Computer Science and Engg. Acharya Nagarjuna University Guntur A.P India

ISBN: (纸本)9783642240546

This paper presents a new method for automatic detection of clustered micro calcifications (both malignant and benign) in digitized mammograms. Compared to previous works, the innovation here is that the processing is performed by labeling the texture regions in the original image. This new method uses the labeling the textures of the mammographic images on the basis of UIQI (universal quality index). Once labeling is performed, mammogram is segmented into various regions and further thresholds are used to separate the clustered micro calcifications. By comparing our results with those found in the literature, we proved that the method enormously reduces the computing time as UIQI utilizes simple statistical features like mean, variance and standard deviations only. In this paper, an automatic segmentation and classification of massive lesions in mammographic images is evaluated on Mini-MIAS database consisting 320 digitalized mammograms. Furthermore, classification rates enhancements were also revealed by testing our method compared to existing methods. © Springer-Verlag Berlin Heidelberg 2011.

关键词： Mammography