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检索条件"任意字段=International Congress on Image and Signal Processing, BioMedical Engineering and Informatics"

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Size measurement of shaft component based on computer vision

Size measurement of shaft component based on computer vision

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congress on image and signal processing, CISP

作者： Chao Qiu School of Mechanical & Electrical Engineering Henan University of Technology Zheng Zhou P. R. China

Dynamic measurement of shaft component external appearance is implemented through the method of mechanical visual non-contact measurement. The edge of the image is primarily located by using sobel operator when the visual image of shaft component is gained. Based on this, the edge subprixel location can be achieved through the least square method to fit those discrete points on image edge. The size is determined on the precise analysis when the error is minimized. The size of the component is exactly calculated after the calibration coefficient k is gained. Through the comparison between the elements of the detected shaft components and the complete shaft components, deficiencies on the surface can be obtained. The experiment shows that the measurement precision is greatly improved and the error is less than ±15um under the condition that CCD camera is 1392×1040 and the pixel size is 4.65um.

关键词： image edge detection biomedical measurements Shafts Mechanical variables measurement Equations Noise Size measurement

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Comparative Analysis of Digital image Correlation Techniques for In-plane Displacement Measurements

Comparative Analysis of Digital Image Correlation Techniques...

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international congress on image and signal processing

作者： R. Roncella E. Romeo L. Barazzetti M. Gianinetto M. Scaioni Department of Civil and Environmental Engineering University of Parma Building Environment Sciences and Technology Department Politecnico di Milano College of Surveying and Geo-Informatics Tongji University

ISBN: (纸本)9781467309653

Two-dimensional Digital image Correlation (DIC) is widely accepted and commonly used in the field of experimental mechanics as a practical and effective tool for quantitative in-plane deformation measurement of an object surface. Cross-Correlation and Least Square Matching are the two most popular techniques for the extraction of image correspondences based on similarities between grey values. A comparative analysis between these two approaches is presented performing a simple test on a traditional brick for construction mounted on a micrometric sledge. Performance analysis in cases where good image data cannot be assumed (e.g. being the specimen surface not properly patterned and/or the camera used gives low quality images) are considered in particular.

关键词： Digital image Correlation Normalized Cross Correlation Least Square Matching

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Secret image sharing using (t,n) threshold scheme with lossless recovery

Secret image sharing using (t,n) threshold scheme with lossl...

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congress on image and signal processing, CISP

作者： Ming-Chun Chien Jen-Ing G. Hwang Department of Computer Science and Information Engineering Fu Jen Catholic University Taipei Taiwan

ISBN: (纸本)9781467309653

Secret image sharing is a means of hiding an image within another image to generate similar images. In 1979, Shamir proposed a method of secret image sharing known as the (t, n) threshold scheme. (t, n) threshold schemes can generate n shadow images and any t of n shadow images can be used to reconstruct the secret image and cover image. Secret image sharing has two main parts: secret image sharing and secret image recovery. The goal of sharing is to embed a secret image in a cover image and reduce the distortion of the shadow image. The most important aspect of recovery is reconstructing the secret image with lossless. Many current schemes perform well at the first task, but most fail to recover the secret image successfully. To address this problem, we propose a novel method for secret image sharing based on a power-of-two Galois field rather than primes. Our experimental results showed that our scheme delivered satisfactory quality shadow images, while it could reconstruct secret images and cover images successfully with lossless.

关键词： PSNR Cities and towns biomedical imaging Cryptography Polynomials

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Global motion video segmentation based on the change of integral brightness in rows (columns)

Global motion video segmentation based on the change of inte...

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congress on image and signal processing, CISP

作者： Bo Yin Jiaojiao Wu Zhiqiang Wei Jie Nie College of Information Science and Engineering Ocean University of China Qingdao Shandong China

This paper puts forward a novel method of global motion video segmentation based on the change of integral brightness in rows (columns) with the purpose of segmenting the different movements of some persons. The thought of the new method is that it calculates the brightness's integration of the images in the video frame by the images' rows (columns), and then analyses the human body movements through the tendency of the statistical brightness changes in all frames. In the video motion segmentation, we mainly segment the videos by the different frequencies of different movements. It's obvious that the frequency of different simple movements is also not the same, so in this way, we can find the boundary of different movements and then distinguish the type of simple movements of the persons through the new method. Many experimental results have demonstrated the performance and feasibility of this new method. Compared with other video segmentation methods, the method come up with in this paper has smaller computation and is easy to understand and much easier to be realized. Experiments show that it's a very practical and feasible algorithm in some tests that don't have very high precision requirement and require high processing speed if the system configuration is lower.

关键词： Motion segmentation image segmentation Brightness biomedical monitoring Algorithm design and analysis Educational institutions Computer vision

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A unimodal person authentication system based on signing sound

A unimodal person authentication system based on signing sou...

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IEEE EMBS international Conference on Information Technology Applications in Biomedicine (ITAB)

作者： Dorrin Khazaei Keivan Maghooli Fardin Afdideh Hilda Azimi Biomedical Engineering Department Islamic Azad University Tehran Iran Biomedical Signal and Image Processing Laboratory (BiSIPL) School of Electrical Engineering College of Engineering Sharif University of Technology Tehran Iran

Person authentication based on only the name, password or person identification number is not secured enough. In recent years researchers have focused on human physiological and behavioral parameters, because these parameters are more unique and human-specific than traditional ones. This approach of person authentication is usually called biometric authentication. Signature is the most commonly used behavioral biometric which is investigated in two ways of online and offline by researchers. In online procedure, the temporal indices of signature such as signing velocity, and acceleration are involved to increase the accuracy relative to offline methods and to recognize counterfeit signatures. In this work, a unimodal authentication system based on the sounds of the signing of thirty persons is proposed. signals are analyzed in online approach. Four different types of features based on cepstrum analysis and parametric models are extracted and classified with three different distance based classifiers. For the evaluation of the proposed authentication system, 10×10 fold cross-validation method is used and the results are reported in terms of False Accept Rate (FAR) and False Reject Rate (FRR) metrics.

关键词： Physiology Application software

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EOG based eye movement measure of visual fatigue caused by 2D and 3D displays

EOG based eye movement measure of visual fatigue caused by 2...

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IEEE EMBS international Conference on Information Technology Applications in Biomedicine (ITAB)

作者： Jae-Hwan Yu Byoung-Hoon Lee Deok-Hwan Kim Department of Electronic Engineering Inha University South Korea Institute for Information and Electronics Research Inha University South Korea

According to dissemination of appliance such as 3D TV and 3D games, visual fatigue estimation of 3D contents has been focused. EOG(Electro-ocular gram) is one of popular methods to measure the movement of the eye for visual fatigue estimation. However, voltage of EOG signal is depending on the eye shape or physiological state of the subject and its basis voltage is changed by the small movements of other body parts. This paper proposes an eye movement measuring method using EOG signal based on basis voltage adjustment for visual fatigue caused by 2D and 3D displays. The method resolve DC drift problem and can measure eye movement correctly without depending on head movement. Experimental results show that recall of the proposed method is 93% and the frequency of blinks and large saccade in case of 3D video is larger than those in case of 2D video.

关键词： Electrooculography Cameras Visualization Reliability Stereo image processing

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High-speed SSVEP-based BCI: Study of various frequency pairs and inter-sources distances

High-speed SSVEP-based BCI: Study of various frequency pairs...

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IEEE EMBS international Conference on Information Technology Applications in Biomedicine (ITAB)

作者： Seyed Navid Resalat Valiallah Saba Fardin Afdideh Ali Heidarnejad Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran AJA University of Medical Sciences Iran Biomedical Signal and Image Processing Laboratory (BiSIPL) School of Electrical Engineering College of Engineering Sharif University of Technology Tehran Iran

Brain Computer Interface provides a new communication channel for people who have severe brain injuries. Among different types of BCIs, SSVEP-based one has been focused in recent years. In this type of BCI, selection of twinkling frequency of external visual stimulant and the distance between stimulants (in case of more than one stimulant) is so important. In this work, a SSVEP-based BCI with two external stimulants was designed. In order to determine the best twinkling frequency of stimulants and the best distance between them, the classification accuracy for seven different twinkling frequency pairs and five different stimulants distances was calculated. Two methods for feature extraction step were proposed and the Max classifier was used for classification in order to speed up the computational burden of classification step. Features were extracted from four different segment lengths (sweeps). The results showed that nearly in all sweeps and all inter-sources distances the frequency pair of 10-15 Hz has the highest classification accuracy among other frequency pairs, which is 92% in the inter-sources distance of 24 cm and sweep length of 3 seconds. In addition, the results demonstrated that the method 2 feature extraction technique outperforms the method 1. In addition, for determining the best sweep length, Information Transfer Rate (ITR) was computed and the results indicated that the sweep length of 0.5 second has the highest ITR, so would be practical in real-time applications of BCI.

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Fusion of image and signal processing for the detection of obstructive sleep apnea

Fusion of image and signal processing for the detection of o...

引用

IEEE EMBS international Conference on Information Technology Applications in Biomedicine (ITAB)

作者： Elnaz Gederi Gari D. Clifford Centre for Doctoral Training in Healthcare Innovation Department of Engineering Science Institute of Biomedical Engineering University of Oxford Oxford UK

Patients with obstructive sleep apnea (OSA) syndrome experience repeated periods of apnea and arousal during sleep. A condition which in short term leads to excessive daytime sleepiness and in the long term may have clinical consequences such as stroke and cardiovascular abnormalities. Although complex equipment can be used to screen for sleep apnea, the screening tests are often expensive, inconvenient for the patient, and time-consuming to be manually analysed. This research investigates methods for automating sleep apnea screening using low-cost off-body cameras. Polysomnography video recordings of twenty one patients, 11 with OSA, and 10 `normals' who were referred for suspected OSA, were analysed with the objective to differentiate the two groups. The proposed technique is based on motion estimation in videos using two successive video frames. The complexities of motion signals from the video data were analysed by calculating sample entropy over multiple time scales. The sample entropy values providing the best separation between the OSA and non-OSA groups were chosen using the Bhattacharyya distance and were then used as the input to a support vector machine classifier. The classification results both on the training and validation data indicate that patients with OSA can be differentiated from patients without OSA with 90% accuracy.

关键词： Technological innovation

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A model-based method with joint sparsity constraint for direct diffusion tensor estimation

A model-based method with joint sparsity constraint for dire...

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IEEE international Symposium on biomedical Imaging

作者： Yanjie Zhu Yin Wu Yuanjie Zheng Ed X. Wu Leslie Ying Dong Liang Paul C. Lauterbur Research Centre for Biomedical Imaging Shenzhen Institutes of Advanced Technology Key Laboratory of Health Informatics Chinese Academy of Sciences Shenzhen China Department of Radiology University of Pennsylvania PA USA Laboratory of Biomedical Imaging and Signal Processing Department of Electrical and Electronic Engineering University of Hong Kong Pokfulam Hong Kong China Department of Electrical Engineering and Computer Science University of Wisconsin Milwaukee Milwaukee WI USA

Diffusion tensor imaging (DTI) has been widely used for nondestructive characterization of microstructures of myocardium or brain connectivity. It requires repeated acquisition with different diffusion gradients. The long acquisition time greatly limits the clinical application of DTI. In this paper, a novel method, named model-based method with joint sparsity constraint (MB-JSC), effectively incorporates the prior information on the joint sparsity of different diffusion-weighted images in direct estimation of the diffusion tensor from highly undersampled k-space data. Experimental results demonstrate that the proposed method is able to estimate the diffusion tensors more accurately than the existing method when a high net reduction factor is used.

关键词： Tensile stress Diffusion tensor imaging image reconstruction Joints Compressed sensing Biological system modeling

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Adaptive backtracking scheme for iterative shrinkage thresholding algorithms

Adaptive backtracking scheme for iterative shrinkage thresho...

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4th international congress on image and signal processing, CISP 2011

作者： Wu, Geming Yang, Wenhui Song, Tao Department of Biomedical Engineering Institute of Electrical Engineering Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781424493067

Iterative shrinkage/thresholding algorithms (ISTAs) have recently been proposed to solve linear inverse problems arising in signal and image processing. The convergence rate of ISTAs relies on a scalar known as step size, which is unknown and expensive to compute in practice especially for large-scale problems. Usually a backtracking rule is employed to choose an appropriate step size which guarantees the convergence condition and speed up ISTAs at the same time. In this paper, we propose a new method to compute the step size exactly. Experimental results show the effectiveness of the proposed algorithm. © 2011 IEEE.

关键词： Inverse problems

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