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4th International Conference on Intelligence science and Big Data Engineering, IScIDE 2013

作者： Liao, Fangshun Yu, Sufen Li, Ying Zhang, Yanning Shaanxi Provincial Key Lab. of Speech and Image Information Processing Northwestern Polytechnical University Xi'an Shaanxi 710072 China Science and Technology on Electro-optic Control Laboratory Louyang 471009 China

ISBN: (纸本)9783642420566

Traditional Markov random Field (MRF) methods assume that neighboring pixels tend to have the same lab.l. However, this assumption is always inconsistent with the actual situation and affects the resultant accuracy of the algorithm. To overcome this, we propose an object-based Markov Random Field (OMRF) model and a change detection method based on OMRF model. The OMRF model assumes that pixels within same object are in the same class. First, we generate the difference image from multi-temporal remote sensing images. Second, Mean Shift is applied to extract objects from difference image. Finally, change detection map is generated by iterative algorithm. The experimental results show that the algorithm can effectively improve the detection accuracy of the algorithm on real remote sensing datasets. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Change detection

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White Paper on Industrial Applications of Computer Vision and Pattern Recognition

White Paper on Industrial Applications of Computer Vision an...

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17th International Conference on image Analysis and Processing (ICIAP)

作者： Garibotto, Giovanni Murrieri, Pierpaolo Capra, Alessandro De Muro, Stefano Petillo, Ugo Flammini, Francesco Esposito, Mariana Pragliola, Concetta Di Leo, Giuseppe Lengu, Roald Mazzino, Nadia Paolillo, Alfredo D'Urso, Michele Vertucci, Raffaele Narducci, Fabio Ricciardi, Stefano Casanova, Andrea Fenu, Gianni De Mizio, Marco Savastano, Mario Di Capua, Michele Ferone, Alessio Selex ES Italy STMicroelectronics Catania Italy RFI Rete Ferroviaria Italiana Roma Italy Ansaldo STS Italy University of Naples Federico II Napoli Italy Dept. of Industrial Engineering University of Salerno Italy Biometric and Image Proc. Lab. University of Salerno Italy University of Cagliari Italy CIRA Italian Aerospace Research Centre Capua Italy CNR Napoli Italy Unlimited Software srl Naples Italy Dept. of Science and Technology University of Naples Parthenope Italy

ISBN: (纸本)9783642411847;9783642411830

The paper provides a summary of the contributions to the industrial session at ICIAP2013, describing a few practical applications of Video Analysis, in the Surveillance and Security field. The session has been organized to stimulate an open discussion within the scientific community of CVPR on new emerging research areas which deserve particular attention, and may contribute to the improvement of industrial applications in the near future.

关键词： Computer vision

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Neurons of the Human Dentate Nucleus: Box-Count Method in the Quantitative Analysis of Cell Morphology

Neurons of the Human Dentate Nucleus: Box-Count Method in th...

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International Conference on Control Systems and Computer science (CSCS)

作者： Duica L. Maric Nebojša T. Miloševic Herbert F. Jelinek Katarina Rajkovic University of Novi Sad Serbia University of Belgrade Serbia Department of Biomedical Engineering Khalifa University of Science Technology and Research UAE Department of Biophysics University of Belgrade Serbia Lab. for Image Anal. in Medical faculty University of Belgrade Serbia

ISBN: (纸本)9781467361408

The morphology of neurons from the human dentate nucleus was analyzed estimating the size and shape of the dendritic field, shape of the neuron, space-filling property and the degree of dendrite aberrations. Among them, the last three morphological properties were investigated using the most popular technique of fractal analysis: the box-count method. The box dimensions of binary images and dendritic field area were statistically investigated in order to test whether the binary box dimension can quantify the size of the neuron. The same analysis was carried out using the box dimension of outline images and image circularity. The parameters, presented in this study have proved to be a useful means for quantifying the morphology of dentate neurons as they provide a robust means of differentiating between neuron subtypes in the dentate nucleus. The findings of the present study are in accordance with previous qualitative data.

关键词： Neurons Shape Fractals Morphology Correlation Filling Educational institutions

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Semantic analysis of 3D anatomical medical images for sub-image retrieval

Semantic analysis of 3D anatomical medical images for sub-im...

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2nd MICCAI International Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CDS 2011

作者： Venkatraghavan, Vikram Ranjan, Sohan Medical Imaging and PACS Lab. School of Medical Science and Technology Indian Institute of Technology Kharagpur India Medical Image Analysis Lab. John F. Welch Technology Center GE Global Research India

ISBN: (纸本)9783642284595

Voluminous medical images are critical assets for clinical decision support systems. Retrieval based on the image content can help the clinician in mining images relevant to the current case from a large database. In this paper we address the problem of retrieving relevant sub-images with similar anatomical structures as that of the query image across modalities. The images in the database are automatically annotated with information regarding body region depicted in the scan and organs present, along with their localizing bounding box. For this purpose, initially a coarse localization of body regions is done in the 2D space taking contextual information into account. Following this, finer localization and verification of organs is done using a novel, computationally efficient fuzzy approximation method for constructing 3D texture signatures of organs of interest. They are then indexed using an inverted-file data structure which helps in ranked retrieval of relevant images. Apart from retrieving sub-images across modalities by image example, automatic annotation and efficient indexing allows query by text, limited only by the semantic vocabulary. The algorithm was tested on a database of non-contrast CT and T1-weighted MR volumes. Quantitative assessment of the proposed algorithm was evaluated using ground-truth database sanitized by medical experts. © 2012 Springer-Verlag.

关键词： Magnetic resonance imaging

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Improved region local binary patterns for image retrieval

Improved region local binary patterns for image retrieval

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Computer science and Information Engineering, CSIE 2012

作者： Wu, Xiaosheng Sun, Junding School of Computer Science and Technology Henan Polytechnic University Jiaozuo 454003 China Image Processing and Image Communication Lab. Nanjing University of Post and Telecommunication Nanjing 210003 China

ISBN: (纸本)9783642301254

Two extended patterns, direction local binary pattern (D-LBP) and variance direction local binary pattern (vD-LBP) were introduced in the paper. More texture features are obtained in the new operators by introducing a variant threshold. The descriptors mentioned in the paper were firstly tested and evaluated on CUReT texture image database. Experimental results show that the two extended operators give better performance than D-LBP and vD-LBP respectively. Finally, the operators were used for trace fossils image retrieval and the results denote that the proposed operator, tvD-LBP is the most effective method for trace fossils image description in the four descriptors. © 2012 Springer-Verlag GmbH.

关键词： Local binary pattern

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Contribution of non-scrambled chroma information in privacy-protected face images to privacy leakage

Contribution of non-scrambled chroma information in privacy-...

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10th International Workshop on Digital-Forensics and Watermarking, IWDW 2011

作者： Sohn, Hosik Lee, Dohyoung De Neve, Wesley Plataniotis, Konstantinos N. Ro, Yong Man Image and Video Systems Lab. Department of Electrical Engineering Korea Advanced Institute of Science and Technology Korea Republic of Multimedia Lab. Department of Electrical and Computer Engineering University of Toronto Canada

ISBN: (纸本)9783642322044

To mitigate privacy concerns, scrambling can be used to conceal face regions present in surveillance video content. Given that lightweight scrambling tools may not protect chroma information in order to limit bit rate overhead in heterogeneous usage environments, this paper investigates how the presence of non-scrambled chroma information in face regions influences the effectiveness of automatic and human face recognition (FR). To that end, we apply three automatic FR techniques to face images that have been privacy-protected by means of a layered scrambling technique developed for Motion JPEG XR, testing the effectiveness of automatic FR and layered scrambling using various experimental conditions. In addition, we investigate whether agreement exists between the judgments of 32 human observers and the output of automatic FR. Our experimental results demonstrate that human observers are not able to successfully recognize face images when simultaneously visualizing scrambled luma and non-scrambled chroma information. However, when an adversary has access to the coded bit stream structure, the presence of non-scrambled chroma information may significantly contribute to privacy leakage. By additionally applying layered scrambling to chroma information, our experimental results show that the amount of privacy leakage can be substantially decreased at the cost of an increase in bit rate overhead, and with the increase in bit rate overhead dependent on the number of scalab.lity layers used. © 2012 Springer-Verlag.

关键词： Scalab.lity

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Superpixel-based interest points for effective bags of visual words medical image retrieval

Superpixel-based interest points for effective bags of visua...

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2nd MICCAI International Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CDS 2011

作者： Haas, Sebastian Donner, René Burner, Andreas Holzer, Markus Langs, Georg Computational Image Analysis and Radiology Lab. Department of Radiology Medical University of Vienna Austria Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA United States

ISBN: (纸本)9783642284595

The present work introduces a 2D medical image retrieval system which employs interest points derived from superpixels in a bags of visual words (BVW) framework. BVWs rely on stable interest points so that the local descriptors can be clustered into representative, discriminative prototypes (the visual words). We show that using the centers of mass of superpixels as interest points yields higher retrieval accuracy when compared to using Difference of Gaussians (DoG) or a dense grid of interest points. Evaluation is performed on two data sets. The imageCLEF 2009 data set of 14.400 radiographs is used in a categorization setting and the results compare favorable to more specialized methods. The second set contains 13 thorax CTs and is used in a hybrid 2D/3D localization task, localizing the axial position of the lung through the retrieval of representative 2D slices. © 2012 Springer-Verlag.

关键词： Superpixels

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Evaluation of fast 2D and 3D medical image retrieval approaches based on image miniatures

Evaluation of fast 2D and 3D medical image retrieval approac...

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2nd MICCAI International Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CDS 2011

作者： Donner, René Haas, Sebastian Burner, Andreas Holzer, Markus Bischof, Horst Langs, Georg Computational Image Analysis and Radiology Lab. Department of Radiology Medical University of Vienna Austria Institute for Computer Graphics and Vision Graz University of Technology Austria Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA United States

ISBN: (纸本)9783642284595

The present work evaluates four medical image retrieval approaches based on features derived from image miniatures. We argue that due to the restricted domain of medical image data, the standardized acquisition protocols and the absence of a potentially cluttered background a holistic image description is sufficient to capture high-level image similarities. We compare four different miniature 2D and 3D descriptors and corresponding metrics, in terms of their retrieval performance: (A) plain miniatures together with euclidean distances in a k Nearest Neighbor based retrieval backed by kD-trees;(B) correlations of rigidly aligned miniatures, initialized using the kD-tree;(C) distribution fields together with the l1-norm;(D) SIFT-like histogram of gradients using the χ2-distance. We evaluate the approaches on two data sets: the imageClef 2009 benchmark of 2D radiographs with the aim to categorize the images and a large set of 3D-CTs representing a realistic sample in a hospital PACS with the objective to estimate the location of the query volume. © 2012 Springer-Verlag.

关键词： Medical imaging

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Geese PSO optimization in geometric constraint solving

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Information technology Journal 2012年第4期11卷 504-507页

作者： Cao, Chun-Hong Wang, Li-Min Han, Chun-Yan Zhao, Da-Zhe Zhang, Bin College of Information Science and Engineering Northeastern University Shenyang 110819 China College of Computer Science and Technology Jilin University Changchun Jilin 130012 China State Key Lab. for Novel Software Technology Nanjing University China Key Laboratory of Medical Image Computing Ministry of Education Northeastern University Shenyang Liaoning 110819 China

Geometric constraint problem is equivalent to the problem of solving a set of nonlinear equations substantially. The constraint problem can be transformed to an optimization n problem. We can solve the problem with GeesePSO optimization. In this paper, an improved algorithm is proposed using the characteristics of the flight of geese for reference. The improved algorithm has superiority over PSO;for one thing, it keeps the population various by ordering all the particles and making each particle fly following its anterior particle;for another thing, it strengthens cooperation and competition between particles by making each particle share more useful information of the other particles. The experiment shows that it can improve the geometric constraint solving efficiency and possess better convergence property than the compared algorithms. © 2012 Asian Network for Scientific Information.

关键词： Nonlinear equations

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Data model driven architecture (DMDA)

Data model driven architecture (DMDA)

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4th International Workshop on Advanced Computational Intelligence, IWACI 2011

作者： Chen, Chen Chen, Xueguang Liu, Hong Institute of Systems Engineering Huazhong University of Science and Technology Wuhan 430074 China Key Lab. for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781612843735

Based on the current development of Model Driven Architecture (MDA) in Enterprise Information System (EIS), the paper proposes a DMDA, a new development architecture to improve EIS development speed and quality. The basic idea of the DMDA is to take advantage of formal description, decomposition and re-use on EIS development process to let computer understand development demands of developers and then consequently generate some business models having nothing to do with specific technical realization, combine with specific technical basic platform to finally generate the EIS meeting actual demands based on data model. The practice proves the architecture is capable of simplifying EIS development difficulty, expediting application and development speed, improve development quality and achieve the rapid development purpose. © 2011 IEEE.

关键词： Software design

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