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Proceedings of the 2010 International conference on signal and image processing, ICSIP 2010

Proceedings of the 2010 International Conference on Signal a...

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3rd IEEE International conference on signal and image processing, ICSIP 2010

ISBN: (纸本)9781424485949

The proceedings contain 105 papers. The topics discussed include: cephalometric landmarks localization based on histograms of oriented gradients;an image processing technique to detecting retina layers;a language independent text segmentation technique based on naive Bayes classifier;an efficient skew detection of license plate images based on wavelet transform and principal component analysis;compression resistant multichannel color image watermarking;video cut detection using block based histogram differences in RGB color space;enhancement of color images in HOT domain with quantitative measurements using entropy and relative entropy;design and development of a DSP processor based reconfigurable hand gesture recognition system for real time applications;and vehicle detection and classification based on morphological technique.

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A new approach for open-close eye states detection: Complex wavelet transform and complex-valued ANN

A new approach for open-close eye states detection: Complex ...

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18th IEEE signal processing and Communications applications conference, SIU 2010

作者： Çelebi, Mehmet Ceylan, Murat Elektrik ve Elektronik Mühendisliǧi Bölümü Selçuk Üniversitesi Konya Turkey

ISBN: (纸本)9781424496716

A novel method for open-close eye states detection, based on complex wavelet transform (CWT) and complex-valued artificial neural network (CVANN) is proposed in this study. Firstly, color information of images is used. Red images for eye are chosen as intensity image of color image. After getting the red image of seperately right and left eye, the color information is used to feature extraction with CWT. Features of eyes are extracted using CWT with 4th level and image size is reduced. After then, four statistical features (maximum value, minimum value, mean value and standard deviation) are obtained from extracted features. These new statistical features are presented to CVANN as inputs. image set including ten person images with open and close eye states is used in this study, CVANN detected eye states with % 6.7 numerical test error. Classification results shown that, one of ten images is misclassified for two states. ©2010 IEEE.

关键词： Neural networks

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image WATERMARKING USING DUAL-TREE COMPLEX wavelet BY COEFFICIENTS SWAPPING AND GROUP OF COEFFICIENTS QUANTIZATION

IMAGE WATERMARKING USING DUAL-TREE COMPLEX WAVELET BY COEFFI...

引用

International conference on Multimedia and Expo

作者： Yang, Huijuan Jiang, Xudong Kot, Alex C. Nanyang Technol Univ Singapore 639798 Singapore

ISBN: (纸本)9781424474936

In this paper, we present two watermarking schemes for images using the low-pass frequency coefficients and high-pass complex frequency coefficients of the Dual-Tree Complex wavelet Transform (DT-CWT) of the image, the distinctive characteristics of the two schemes can lead to different applications. We investigate the problem of embedding binary watermark sequence in DT-CWT domain, which is a challenging problem. The coefficients swapping is done by carefully selecting those 2x2 blocks with high-energy in the low frequency and swap the coefficients that lie in the median range in the block to embed the watermark. Whereas the group of coefficients quantization quantizes a group of high-pass complex frequency coefficients to make the quantized coefficients lie in the middle of the quantization range and distribute the changes among the coefficients. Experimental results conducted on 100 standard images achieve about 96% and 92% detection rate for the low-pass and high-pass frequency coefficients-based schemes, respectively. Robustness tests against some common signal processing attacks such as additive noise, median filtering and lossy JPEG compression confirm the superior performance of the proposed schemes.

关键词： dual-tree complex wavelet coefficients swapping group of coefficients quantization robustness

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Speckle reduction with multiresolution bilateral filtering for SAR image

Speckle reduction with multiresolution bilateral filtering f...

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2010 International conference on Machine Vision and Human-Machine Interface, MVHI 2010

作者： Lu, Bibo Ku, Yongxia School of Computer Science and Technology Henan Polytechnic University Jiaozuo China

ISBN: (纸本)9780769540092

Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which requires despeckle before many other image processing and analysis applications. In this paper, a new speckle reduction method based on wavelet and bilateral filtering is proposed. Bilatreal filtering is applied to the low frequency subbands of a signal obtained by wavelet transform. The new method preserves edges and protect details. Experimental results tested on real SAR images demonstrate the performance of the proposed method. © 2010 IEEE.

关键词： wavelet transforms

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Modified Noncausal Smoothing Filter and Low Rank Matrix Approximation for Noise Reduction

Modified Noncausal Smoothing Filter and Low Rank Matrix Appr...

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conference on signal processing, Sensor Fusion, and Target Recognition XIX

作者： Viangteeravat, Teeradache Wilkes, D. Mitchell Univ Tennessee Hlth Sci Ctr Memphis TN 38163 USA Vanderbilt Univ Elect Engn & Comp Sci Nashville TN 37235 USA

ISBN: (纸本)9780819481610

Removing noise in real time has become a high priority for analyzing data corrupted by additive noise. It is a major problem in various applications such as speech, image processing and real time multimedia services. Although considerable interest has arisen in recent years regarding wavelets as a new transform technique for many applications, the linear adaptive decomposition transform (LDT) has yielded results superior to the discrete wavelet transform (DWT) not only in terms of using a lower number of decomposition levels but also achieving a smaller percentage normalized approximation error in the reconstructed signal. In this paper, a novel noise reduction method, based on a modified noncausal smoothing filter and low rank approximation based upon the sum of minimum magnitude error criterion (i.e., l(1) norm) is introduced that distinguishes itself from these other methods. The performance of the proposed approach was evaluated based on one dimensional data sets as well as speech samples. It is demonstrated that the approach yields very promising results on the test signals of the Donoho and Johnstone as well as to speech signals.

关键词： data adaptive linear decomposition matrix decomposition wavelet denoising singular value decomposition

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Moving Target Detection for a Multi-Band Pushbroom Sensor

Moving Target Detection for a Multi-Band Pushbroom Sensor

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conference on Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and applications vii

作者： Cheng, Beato T. Goodrich ISR Syst Chelmsford MA 01824 USA

ISBN: (纸本)9780819481320

A pushbroom MSI sensor collects image data from the ground, parallel to the flight path, at a specific point angle. images taken at two instances of time while the scanner moves with the platform usually have a spatial offset, and need to be registered before they can be compared for any changes between the two images. Moving target detection is a special case of change detection that requires the time between frames be small enough that a moving vehicle remains in close proximity on the two frames. We propose an algorithm for the detection of moving targets in a multi-band line scanning pushbroom sensor. Ideally, change detection works best when images have the same spectral bandwidth and are perfectly registered to one another, since differencing the two images automatically removes most of the common background signal. However, this is not always the case. For example, the sensor considered here has different bandwidths for its component bands, and since it is a line-scanner it is much more challenging regarding image registration than a framed-based scanner. In this study, we will use simulated data of the same bandwidth to demonstrate the fundamental algorithm of detection and velocity calculation. The velocity calculation is that of distance divided by time;but, depending on the focal plane layout and other operating considerations and conversion between image space to physical units, this calculation is not as simple as it seems. We will also discuss our effort in applying our algorithm to real line-scan imagery, of different bandwidths in the two channels. We will show the extra image processing efforts needed to make it work, and show some of the test results.

关键词： image segmentation Sensors Detection and tracking algorithms Target detection image processing image quality Raster graphics image registration image processing algorithms and systems image sensors

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Watermarking ancient documents schema using wavelet packets and convolutional code

Watermarking ancient documents schema using wavelet packets ...

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2010 2nd International conference on image processing Theory, Tools and applications, IPTA 2010

作者： MaatouK, Mohamed Neji Bellaj, Majd Amara, Najoua Essoukri Ben Faculty of Sciences Monastir Tunisia National Engineering School Sousse Tunisia

ISBN: (纸本)9781424472482

The ancient documents have a major importance in the history of every people and every nation. These documents involve important information that many people need. As a consequence, it is necessary to preserve these documents in order to build a numerical library in the service of the public. Therefore, the necessity of digitizing these documents permits the simultaneous access to the same documents and provides the possibility of the reproduction of these documents existing most of the time in just one example. This task is considered as an important step in the research domain. In fact, many researches have been invested for the processing, compression, segmentation and indexation of these documents. Nevertheless, with a numerical form, there is a threat of hacking, stocking, copying, modifying and finally diffusing these documents in an illegal way without losing their quality. As a consequence, we face the problem of losing the intellectual property because of the lack of methods that concern the protection of data. In order to prevent these frauds, watermarking represents a promising method to protect these images. In this context, our work makes part of protecting ancient documents essentially. In this paper, we have proposed the method of watermarking ancient documents. This method is based on the wavelet Packet Transform (WPT) and it provides a good robustness which can face different attacks like signal processing (noise, filter and compression) and noticeable signature invisibility. ©2010 IEEE.

关键词： Personal computing

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Multiple features integration in 2D upper human body pose modelling system

Multiple features integration in 2D upper human body pose mo...

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International conference on Information Science, signal processing and Their applications

作者： Porle, R.R. Chekima, A. Wong, F. Sainarayanan, G. School of Engineering and Information Technology Universiti Malaysia Sabah Locked Bag No. 2073 88999 Kota Kinabalu Sabah Malaysia ICT Academy of Tamil Nadu ELCOT Complex 2-7 Developed Plots Industrial Estate Perungudi Chennai - 600 096 India

ISBN: (纸本)9781424471676

Human body pose modelling system is directly influenced by the image features used in the system, its model representation and also its application. This paper presents silhouette, edge and colour extraction methodology for detecting the human body parts in image sequences. Silhouette is used as input for head and torso pose estimation. Meanwhile, edge and colour are used respectively as input for non-occluded and occluded arms pose estimation. The body parts are estimated using histogram analysis and template matching techniques, which is then represented by rectangular shape. © 2010 IEEE.

关键词： wavelet transforms

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The design of wavelets for limited-angle tomographic hyperspectral imaging systems

The design of wavelets for limited-angle tomographic hypersp...

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conference on Mathematics of Data/image Coding, Compression, and Encryption with applications XII

作者： Scholl, James F. Hege, E. Keith Dereniak, Eustace L. Univ Arizona Coll Opt Sci 1630 E Univ Blvd Tucson AZ 85721 USA MKS Imaging Technol LLC Tucson AZ 85718 USA Hnu Photon Wailuku HI 96793 USA Univ Arizona Dept Astron Steward Observ Tucson AZ 85721 USA

ISBN: (纸本)9780819482952

A number of hyperspectral (x, y, lambda) imaging systems work on the principle of limited angle tomography. In such systems there exists a region of spatial and spectral frequencies called the "missing cone" that the imaging system cannot recover from data using any direct reconstruction algorithms. wavelets are useful for imaging objects that are spatially and in many cases also spectrally compact. However wavelet expansion functions have three-dimensional frequency content intersecting the missing cone region;this means the wavelets themselves are altered thus compromising the corresponding datacube reconstructions. As the missing cone of frequencies is fixed for a given imaging system, it is reasonable to adjust parameters in the wavelets themselves in order to reduce the intersection between the wavelets' frequency content and the missing cone. One wavelet system is better than another when the frequency content of the former has a smaller amount of overlap with the missing cone. We will do this analysis with a couple of classic wavelet families, the Morlet and the Difference of Gaussian (DOG) for an existing hyperspectral tomographic imaging system to show the feasibility of this procedure.

关键词： wavelets hyperspectral signal processing

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Comparative study on wavelet transform and traditional image processing

Comparative study on wavelet transform and traditional image...

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3rd International conference on Information Sciences and Interaction Sciences, ICIS 2010

作者： Li, Xiaoping Zhang, Lin Dong, Hongjian Xu, Jianqiang Department of Computer Science and Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9781424473854

wavelet technology is applied to direct the traffic of Olympic Games to locate and identify various vehicles. License plate recognition algorithm is always on the basis of Fourier transform theory. However, when expressing signal through Fourier, all frequencies it contains can be determined but when they appear cannot be determined. Apply wavelet transform theory to the whole process of license plate recognition, and give a comparison between wavelet and Fourier transform after a deep research on the theory of wavelet for the further applications in solving the anti-jamming problems of license plate recognition.

关键词： wavelet transforms

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