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7th ieee International Conference on computational intelligence and Computing Research (ICCIC)

作者： Saravanan, D. IFHE Univ IBS Hyderabad Fac Operat & IT Hyderabad Andhra Pradesh India

ISBN: (纸本)9781509006120

Camouflaging of twofold images is necessary while information's are communication through image. Technology brings the communication easier, most of the communication today through open network, for this threats also increased frequently. This paper brings the new technique called flow code procedure technique. Given binary image converted into text representation and encrypted using flow code procedure. The existing image transformation done through image compression, communicate this compress image alone never brings the security. For that images must be converted into code form before it start communicating in the network. Here images are converted as text, using character system table. The main advantage of the proposed technique user no need to remember keys. Experimental outcome proves that proposed technique brings the better result than existing techniques.

关键词： image processing twofold image Encryption Keyimage Decryption Plain Text Converted image

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The Synchronization Reconfiguration for Compatibility GNSS signals 8

The Synchronization Reconfiguration for Compatibility GNSS S...

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8th International symposium on computational intelligence and Design (ISCID)

作者： Liu Fang Huang Shuo Hui Shenyang Ligong Univ Sch Informat Sci & Engn Shenyang Peoples R China

ISBN: (纸本)9781467395878

A variety of satellite navigation system with cooperative navigation is an important development trend of the future GNSS. Based on the needs of multimode signals, analyze the characteristics of new signals. Furthermore, the reconfiguration strategies of multimode signals are studied. Taking synchronous processing speed, accuracy, resource utilization, complexity or something like these into account, the reconfiguration driving, reconfiguration panning, reconfiguration implementation are designed, and then the reconfiguration overall controlling strategy is formed. The strategy is reasonable, efficient, and reconfigurable for the multimode signals. The feasibility and necessity of multimode satellite navigation signal is supplied by the analysis of multimode signal frequency and multimodality modulation.

关键词： Synchronization GNSS multimode signal

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Fast image and video denoising via nonlocal means of similar neighborhoods

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ieee signal processing LETTERS 2005年第12期12卷 839-842页

作者： Mahmoudi, M Sapiro, G Univ Minnesota Dept Elect & Comp Engn Minneapolis MN 55455 USA

In this letter, improvements to the nonlocal means image denoising method introduced by Buades et al. are presented. The original nonlocal means method replaces a noisy pixel by the weighted average of pixels with related surrounding neighborhoods. While producing state-of-the-art denoising results, this method is computationally impractical. In order to accelerate the algorithm, we introduce filters that eliminate unrelated neighborhoods from the weighted average. These filters are based on local average gray values and gradients, preclassifying neighborhoods and thereby reducing the original quadratic complexity to a linear one and reducing the influence of less-related areas in the denoising of a given pixel. We present the underlying framework and experimental results for gray level and color images as well as for video.

关键词： computational complexity contexts image and video denoising nonlocal neighborhood filters

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An Adaptive image Enhancement Technique Based on Firefly Algorithm 8

An Adaptive Image Enhancement Technique Based on Firefly Alg...

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8th International symposium on computational intelligence and Design (ISCID)

作者： Ye, Zhiwei Zhao, Wei Ma, Lie Hubei Univ Technol Sch Comp Sci Wuhan Peoples R China

ISBN: (纸本)9781467395878

image enhancement is an important step in image processing, and the enhancement approach based on normalization of incomplete beta function is able to achieve ideal enhanced results. However, it often requires human intervention or is time-consuming to obtain good parameters, which still remains an issue not fully solved. In practice, it is an optimization problem to select the optimal parameters for the method. In the paper, the Firefly Algorithm( FA) is employed to search for the optimal parameters and the acquired optimal parameters are used to generate the gray level transformation curve to improve images. The performance of the proposed method is contrasted with other evolutionary computing methods like genetic algorithm and particle swarm optimization algorithm. Experimental results display that FA is able to gain the optimal parameters effectively and adaptively, which outperforms the other optimization algorithms involved in the paper.

关键词： Firefly Algorithm image enhancement optimal parameters selection

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SIFT image Stitching Technology Based on Music Score Scanning Recognition System 9

SIFT Image Stitching Technology Based on Music Score Scannin...

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9th International symposium on computational intelligence and Design (ISCID)

作者： Zhao, Guanyu Song, Qing Beijing Univ Posts & Telecommun Automat Coll Beijing Peoples R China

ISBN: (纸本)9781509035588

Music score scanning recognition system, to identify musical notes through hand-held device by scanning five-line staff. Most of the music score scanning equipment equips with linear sensors, acquires the binary image according to the intensity of reflection of light with the irradiation of the front LED. However, because of the influence of illumination and differential rotation of this method, the acquired picture signal is incomplete with lots of noise. It describes a new collection method that is to use video instead of images and cut out several images, using the image stitching algorithm, to improve matching precision with the RANSAC algorithm. Simultaneously, use the weighted smoothing fusion algorithm based on the matching principle. Ultimately, realizes the stitching method based on SIFT feature matching in the music score scanning recognition system. Because of its high matching capacity, problems such as translation between two different images and illumination could be perfectly solved, the pictures look much more verisimilitude and the traditional deficiency could be improved.

关键词： image stitching SIFT music score scanning recognition system feature matching

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Fast Adaptive Anisotropic Filtering for Medical image Enhancement

Fast Adaptive Anisotropic Filtering for Medical Image Enhanc...

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ieee International symposium on signal processing and Information Technology

作者： George, Jose Indu, S. P. Network Syst & Technol P Ltd Med Imaging Res Grp Trivandrum Kerala India

ISBN: (纸本)9781424435548

In this paper, Local Structure Tensor (LST) based Adaptive Anisotropic Filtering (AAF) methodology is used for medical image enhancement over different modalities. This filtering framework enhances and preserves anisotropic image structures while suppressing high frequency noise. The goal of this work is to reduce the overall computational cost with minimum risk on accuracy by introducing optimized filternets for local structure analysis and reconstruction filtering. This filtering technique facilitates user interaction and direct control over high frequency contents of the signal. The efficacy of the filtering framework is evaluated by testing the system with medical images of different modalities. The results are compared using three different quality measures. Experimental results show that a good level of noise reduction along with structure enhancement can be achieved in the adaptively filtered images.

关键词： Adaptive Anisotropic Filtering Local Structure Tensor Filternet Filter Optimization

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Video saurus system: Movement evaluation by a genetic algorithm

Video saurus system: Movement evaluation by a genetic algori...

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ieee International symposium on computational intelligence for Measurement Systems and Applications

作者： Mastronardi, G Bevilacqua, V Politecn Bari DEE I-70125 Bari Italy

ISBN: (纸本)0780377834

In this paper we have addressed the problem of adopting in a combined way a genetic algorithm 131 and the Hough Transform [1,2] for implementing an auto tracking method in a video conference system By applying this method we have been able to track an object that moves slowly following quite parallel trajectories. The proposed algorithm considers just the shape of the object to be tracked and a priori known as a template, without taking into account other several characteristics of images like colour or texture. Because the implementation of Hough transform is a problem of maximising a function with particular constraints, and each run of evaluating Hough transform is time consuming, in this paper we have adopted a particular genetic algorithm to evaluate the rectangular region in which evaluate the Hough Transform [6]. The genetic algorithm used elitistic strategy, fitness sharing 151, mating restriction 141, adaptive rate of mutation and adaptive rate of cross-over with a double crosspoint[3]. Moreover, in this paper, since the evaluation of Hough Transform is very time consuming, we have addressed the strategy of dividing the whole scene in different shorter window in order to partition the evaluating load on parallel DSP.

关键词： Body sensor networks Digital signal processing Filters Genetic algorithms Genetic mutations image edge detection image segmentation Layout Shape Videoconference

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A multi-channel representation for images on quantum computers using the RGBα color space

A multi-channel representation for images on quantum compute...

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7th ieee International symposium on Intelligent signal processing, WISP 2011

作者： Sun, Bo Le, Phuc Q. Iliyasu, Abdullah M. Yan, Fei Garcia, J. Adrian Dong, Fangyan Hirota, Kaoru Department of Computational Intelligence and Systems Science Tokyo Institute of Technology Tokyo Japan

ISBN: (纸本)9781457714016

A Multi-Channel Representation for Quantum image (MCRQI) is proposed to facilitate the further image processing tasks based on the Flexible Representation for Quantum image (FRQI). Channel Swapping Operation, One Channel Operation, are proposed as basic image processing operations on MCRQI representation. The simulation experiment results on classical computer show that the channel information of R G B (color) and α (transparency) can be carried easily on quantum computer by employing three qubits to represent the color space, and also indicate that this MCRQI is very flexible to realize some classic-like operations. The MCRQI provides a foundation not only express image in RGBα color space, but also to explore theoretical and practical aspects of image processing on quantum computer. © 2011 ieee.

关键词： Quantum computers

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JSEG-based image Segmentation in Computer Vision for Agricultural Mobile Robot Navigation

JSEG-based Image Segmentation in Computer Vision for Agricul...

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ieee International symposium on computational intelligence in Robotics and Automation

作者： Lulio, Luciano C. Tronco, Mario L. Porto, Arthur J. V. Univ Sao Paulo Engn Sch Sao Carlos Dept Mech Engn BR-13566590 Sao Paulo Brazil

ISBN: (纸本)9781424448081

This project aims to apply image processing techniques in computer vision featuring an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory navigation problems, as well as localization matters. To carry through this task, computational methods based on the JSEG algorithm were used to provide the classification and the characterization of such problems, together with Artificial Neural Networks (ANN) for pattern recognition. Therefore, it was possible to run simulations and carry out analyses of the performance of JSEG image segmentation technique through Matlab/Octave platforms, along with the application of customized Back-propagation algorithm and statistical methods in a Simulink environment. Having the aforementioned procedures been done, it was practicable to classify and also characterize the HSV space color segments, not to mention allow the recognition of patterns in which reasonably accurate results were obtained.

关键词： image processing image segmentation mobile robots computer vision

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Emergent complex behaviors for swarm robotic systems by local rules

Emergent complex behaviors for swarm robotic systems by loca...

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symposium Series on computational intelligence, ieee SSCI 2011 - 2011 ieee Workshop on Robotic intelligence in Informationally Structured Space, RIISS 2011

作者： Chatty, Abdelhak Kallel, Ilhem Gaussier, Philippe Alimi, Adel M. Sfax Tunisia ETIS: Neuro-cybernetic Team Image and Signal Processing Cergy-Pontoise University Paris France

ISBN: (纸本)9781424498840

This paper describes a clustering process taking inspiration from the cemetery organization of ants. The goal of this paper is (i) to show the importance of the local interactions which allow to produces complex and emergent behavior. (ii) To propose a multi-robot systems in the field of clustering objects allowing optimization of: time of convergence, rate of occupation of the objects in the environment and final number of the clusters. And finally (iii) to propose another system with the use of cognitive robots instead of reactive robots in the same field of clustering objects with generic rules which can be used independently of the environment. Series of simulations enable us to discuss and validate the proposed approach. © 2011 ieee.

关键词： Multipurpose robots

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