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image retrieval based on RST invariant features extracted from scale invariant keypoints

Image retrieval based on RST invariant features extracted fr...

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6th international conference on Intelligent Information Hiding and Multimedia signal Processing, IIHMSP 2010

作者： Lu, Zhe-Ming Zheng, Wei-Min Wang, Jing School of Aeronautics and Astronautics Zhejiang University Hangzhou 310027 China Shenzhen Institutes of Advanced Technology Shenzhen 518055 China Electrical and Electronic Engineering School North China Electric Power University Beijing 102206 China

ISBN: (纸本)9780769542225

In content-based image retrieval systems, the invariance to geometrical transformations is one of the most desired properties. In this paper, a kind of rotation, scaling and translation (RST) invariant feature for image retrieval is investigated, and a new method is proposed to extract this type of feature. The proposed scheme first detects the scale invariant keypoints in images, and then utilizes the translation and rotation invariance properties of Burkhardt's features to construct a local rotation and translation (RT) descriptor. Finally, the RST invariant features are extracted from the keypoints based on the local descriptor. Moreover, we take the structural information into account and combine it with the histogram descriptor. By combining these techniques, we can effectively retrieve both the RST transformed images and the similar images of the query image. Experimental results demonstrate the effectiveness of the proposed scheme by comparing it with other methods. © 2010 IEEE.

关键词： Mathematical transformations

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Legendre moments for face identification based on single image per person

Legendre moments for face identification based on single ima...

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2010 2nd international conference on signal Processing systems, ICSPS 2010

作者： Akbari, Rohollah Bahaghighat, Mehdi Keshavarz Mohammadi, Javad Electrical and Computer Department Azad University of Qazvin Qazvin Iran Computer Department Raja University of Qazvin Qazvin Iran Electrical Department Azad University of Takestan Takestan Iran

ISBN: (纸本)9781424468911

One of the main challenges faced by the current face recognition techniques lies in the difficulties of collecting samples. Fewer samples per person mean less laborious effort for collecting them, lower cost for storing and processing them. Unfortunately, many reported face recognition techniques rely heavily on the size and representative of training set, and most of them will suffer serious performance drop or even fail to work if only one training sample per person is available to the systems. In this paper, a recognition algorithm based on feature vectors of Legendre moments is introduced as an attempt to solve the single image problem. Subset of 200 images from FERET database and 100 images from AR database are used in our experiments. The results reported in this paper show that the proposed method achieves 91% and 89.5% accuracy for AR and FERET, respectively. © 2010 IEEE.

关键词： Face recognition

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A network locality aware algorithm based on identity mapping

A network locality aware algorithm based on identity mapping

引用

2010 2nd international conference on signal Processing systems, ICSPS 2010

作者： Zhang, Jianwei Zhan, Xiaosu Zou, Dongyao Si, Liu Guo, Yunfei National Digital Switching System Engineering and Technology Research Center Zhengzhou Henan China School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou Henan China Institute of Military Operations Research Chinese Academy of Military Science Beijing China

ISBN: (纸本)9781424468911

Separation of identifier and locator provides good conditions of routing scalability and mobility for internet routing and IP addressing. based on the idea of identifier and locator separation, in this paper we introduce the access identifier (AID) and the routing locator (RLOC), design a network locality-aware distributed hash table (NLA-DHT), then present an identifier mapping information storage algorithm with network locality-aware capability (N3-Chord). Simulation performance shows that, the identifiers of distributed network storage nodes assigned by NLA-DHT with good query performance in network topology locality consistency, and the query efficiency and network fault handling capability of N3-Chord is much superior to ChordFingerPNS and ChordFinger. © 2010 IEEE.

关键词： Data structures

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A Protocooperation-based Sleep-Wake Architecture for Next Generation Green Cellular Access Networks

A Protocooperation-based Sleep-Wake Architecture for Next Ge...

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4th international conference on signal Processing and Communication systems (ICSPCS)/12th international Symposium on DSP and Communication systems (DSPCS)/9th Workshop on the internet, Telecommunications and signal Processing (WTSP)

作者： Hossain, Md Farhad Munasinghe, Kumudu S. Jamalipour, Abbas Univ Sydney Sch Elect & Informat Engn Sydney NSW 2006 Australia

ISBN: (纸本)9781424479078

The rapidly increasing contribution towards global warming from the information communication technology (ICT) sector is a clear indication of the need for energy efficient green communication networks. For instance, in the case of cellular networks, over 80% of the total energy is consumed at the access network. On the other hand, incorporating self-sustainability and autonomy in its operation, control, and maintenance is significantly vital due to relatively larger sizes, higher complexities, and dynamic behaviors of future networks than those of current networks. In this paper, with the inspiration from the ecological principle of protocooperation, a novel energy efficient cellular access network architecture is proposed. With the adoption of the wake-up technology, base transceiver stations (BTSs) are made to protocooperate with each other to achieve higher energy efficiency within a cellular access network. Protocooperation is one of the ecological interactions by which two interacting species gain benefit through cooperation. However, this type of cooperation is not compulsory for the survival of any of these two species. To accomplish less energy consumption and higher self-sustainability at the access network, BTSs cooperatively and dynamically switch between active and sleep modes depending on the current traffic situation. The extent of self-sustainability incorporated in the proposed architecture is studied and analyzed. As per the result, our proposed architecture and algorithm are capable of achieving a significant amount of energy saving, which is an important step towards a self-sustainable green communication system.

关键词： NGMN ecologically inspired networks green networks protocooperation self-sustainablity

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Abnormal Pattern Detection based on Visualization

Abnormal Pattern Detection based on Visualization

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2nd international conference on Computer and Automation Engineering (ICCAE)

作者： Jin, Ai-shu Hwang, Dae-dong Kim, Gye-young Chang, Hoon Lee, Sangjun Choi, Hyung-il Soongsil Univ Sch Media Seoul South Korea Soongsil Univ Sch Comp Seoul South Korea

ISBN: (纸本)9781424455690

Malicious traffics on the internet are difficult to detect among massive network traffic flow. In most existing method about network attack visualization systems, normally, the attacks cannot be automatically detected by the system. In the paper, a new network traffic visualization based on artificial neural network is proposed. The proposed method is capable of detecting attack traffic pattern more easily. In the proposed method, image is firstly made using the source IP, source port, destination IP and destination port, and then patterns are detected by Hough transform. Pattern features are evaluated by artificial neural network, through which abnormal patterns are classified. The performance of the proposed method proved through experiment results.

关键词： Visualization Attack detection Network Traffics

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Identification of cotton contaminants using neighborhood gradient based on YCBCr color space

Identification of cotton contaminants using neighborhood gra...

引用

2010 2nd international conference on signal Processing systems, ICSPS 2010

作者： Zhang, Chengliang Feng, Xianying Li, Lei Song, Yaqing School of Mechanical Engineering Shandong University Key Laboratory of High Efficiency and Clean Mechanical Manufacture Ministry of Education Jinan Shandong Province China

ISBN: (纸本)9781424468911

In view of the harm of cotton contaminants, the image processing method based on machine vision provides a good solution to eliminating the foreign fibers. After analyzing cotton contaminants characteristics adequately, this paper presents a practical recognition algorithm for cotton foreign fibers images. By converting the collected images from RGB to YCbCr space, gray image Y, blue color component Cb and red color component Cr are obtained, and green color component Cg is constructed. In doing so, it is helpful to distinguish gray information and color information effectively and helpful to use them respectively. For brightness images Y, the image sharpening algorithm based on neighborhood gradient is proposed after contrasting arctangent histogram and automatic histogram enhancement. The algorithm fully considers effects of gray variation level of pixel itself, neighborhood pixel gradient and the distance between neighboring point and the centre point. Iterative threshold segmentation is applied to binarize the image Cr, Cb, Cg and the gradient-sharpened image respectively. The optimum threshold obtained by iterative algorithm is free of the effect of noise. With the increase of iterations the evaluating gray value is tending to the true value. Performing fusion technology to the four binary images can fuse gray image and color image information together. In order to eliminate the noise points and false feature, this paper proposes the shape feature recognition method based on minimum area, the ratio between perimeter and area and objective center distance. Finally the fused image is conducted morphological processing. It is proved by experimental results that the algorithm is effective and credible. © 2010 IEEE.

关键词： Cotton

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Research on the WebGIS space vector data based on the J2EE

Research on the WebGIS space vector data based on the J2EE

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international conference on Management and Service Science

作者： Zhao, Feng Department of the Management Science and Engineering Dongbei University of Finance and Economics DUFE Dalian China

ISBN: (纸本)9781424453269

Web GIS is becoming the developing hotpot for GIS With the development of internet technology .Geographical Information System (GIS) is an information system which stores analyzes and visually express spatial data . WebGIS can Provide not only simple text and data , but also graphics and images to more and more people. WebGIS is the outcome of internet development and information sharing . However, many traditional GIS software adopts file-based data organization, which only publishes GIS data less. The technology of publishing mass vector and image database would be restricted . It is necessary to take the proper syncretizing among such technologies as Web, software engineering, programming languages, database and GIS functions into account and consider how to provide a simple and convenient application mode to client. In This paper the author first discuss the model about the data-memory, organizing and the data publishing, then research the design model and the realize model of the Web GIS based on J2EE. Analyse the work principle , merit , demerit and the realizing method of the constitutes of Web GIS, i.e. the structure of three layers. © 2010 IEEE.

关键词： Information systems

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Starfruit image Segmentation based on YCbCr Color Space

Starfruit Image Segmentation Based on YCbCr Color Space

引用

international IEEE conference on signal-image Technologies and internet-based System

作者： R. Amirulah M.M. Mokji Z. Ibrahim U.U. Sheikh Computer Vision Video and Image Processing (CvviP) Faculty of Electrical Engineering UTM Skudai Johor Malaysia

Segmentation in a classification system plays an important role as it will determine the region of interest for the classification. In this work, the segmentation of star fruit is performed in YCbCr color space. Because of the background of the image to be classify has 2 different colors, which are black and white, the segmentation is obtained using a fixed threshold value for the Cb component. This is because the value for Cb is equivalent in black, white or gray scale pixels. By fixing the threshold for Cb component, the region of interest (ROI) can easily be determined and then proceeded to the classification process. The results in this paper show that the ROI can be determined completely by this method.

关键词： image color analysis image segmentation Object segmentation Inspection Indexes Gray-scale Field programmable gate arrays

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A ZigBee based embedded remote control system

A ZigBee based embedded remote control system

引用

2010 2nd international conference on signal Processing systems, ICSPS 2010

作者： Chengyi, Cui Guannan, Zhao Minglu, Jin Facuty of Electronic Information and Electrcal Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9781424468911

Wireless remote control system can make our daily life more convenience. In this paper, a Zigbee based embedded remote control system is implemented. The system not only provides the wireless communication capability by utilizing Zigbee technique but also runs on an embedded board rather than a PC, to make the system size smaller, the power consumption and cost lower. The Web Server is boa in this system. Moreover, the paper describes the running and the configuration procedures of boa on the embedded broad in detail. Since the embedded Web Server uses common gateway interface (CGI) to communicate with other modules in the system, the CGI program is also described here. The software design of Zigbee is based on TI's Z-stack, and the Zigbee modules are implemented by TI's CC2430. The testing system can be visited in any remote places wherever you have an internet interface and a browser with any standard. The controlled modules can be communicated by wireless mode. Therefore, our designed system is a promising candidate for home automation applications, remote industrial control areas and remote patient monitoring system. © 2010 IEEE.

关键词： Zigbee

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Target automatic recognition based on ISAR image with wavelet transform and MBLBP

Target automatic recognition based on ISAR image with wavele...

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international Symposium on signals, systems and Electronics

作者： Wang, Fang Sheng, Weixing Ma, Xiaofeng Wang, Hao School of Electronic and Optoelectronic Engineering Nanjing University of Science and Technology Nanjing 210094 China

ISBN: (纸本)9781424463558

A novel feature extraction algorithm of Inverse Synthetic Aperture Radar (ISAR) image based on wavelet transform (WT) and multi-scale block local binary pattern (MBLBP) is proposed in this paper. Firstly, the mathematical morphology method is adopted to enhance ISAR image. Secondly, 2D wavelet transform is used to get the low frequency sub-band image from the enhancement ISAR image. Then, ISAR image is divided into small regions from which block local binary pattern (BLBP) with different weight histograms are extracted and concatenated into a feature vector to be used as an efficient ISAR descriptor. At last the classification is performed by using a nearest neighbor classifier with Chi square as a dissimilarity measure in the computed feature space. The experimental results on three kinds of aircraft targets show that the method performs very well. © 2010 IEEE.

关键词： Local binary pattern

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