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conference on Medical Imaging - Physics of Medical Imaging

作者： Choi, Sunghoon Lee, Haenghwa Lee, Donghoon Choi, Seungyeon Shin, Jungwook Jang, Woojin Seo, Chang-Woo Kim, Hee-Joung Yonsei Univ Dept Radiol Sci Coll Hlth Sci Wonju South Korea Yonsei Univ Dept Radiat Convergence Engn Coll Hlth Sci Wonju South Korea LISTEM Corp 94 Donghwagongdan Ro Wonju South Korea

ISBN: (数字)9781510607101

ISBN: (纸本)9781510607095;9781510607101

Digital tomosynthesis has an advantage of low radiation dose compared to conventional computed tomography (CT) by utilizing small number of projections (similar to 80) acquired over a limited angular range. It can produce 3D volumetric data although they may have some artifacts due to incomplete sampling. Based upon these attractive merits, we developed a prototype digital tomosynthesis R/F system especially for the purpose of applications in chest imaging. Prototype chest digital tomosynthesis (CDT) R/F system contains an X-ray tube with high power R/F pulse generator, flat-panel detector, R/F table, electromechanical radiographic subsystems including precise motor controller, and a reconstruction server. For image reconstruction, users could select the reconstruction option between analytic and iterative methods. Reconstructed images of Catphan700 and LUNGMAN phantoms clearly and rapidly described the internal structures of the phantoms using graphics processing unit (GPU) programming. Contrast-to-noise ratio (CNR) values of the CTP682 module was higher in images using the simultaneous algebraic reconstruction technique (SART) than those using filtered back-projection (FBP) for all materials by factors of 2.60, 3.78, 5.50, 2.30, 3.70, and 2.52 for air, lung foam, low density polyethylene (LDPE), Delrin (R) (acetal homopolymer resin), bone 50% (hydroxyapatite), and Teflon, respectively. Total elapsed times for producing 3D volume were 2.92 sec and 86.29 sec on average for FBP and SART (20 iterations), respectively. The times required for reconstruction were clinically feasible. Moreover, the total radiation dose from the system (5.68 mGy) could demonstrate a significant lowered radiation dose compared to conventional chest CT scan. Consequently, our prototype tomosynthesis R/F system represents an important advance in digital tomosynthesis applications.

关键词： Prototyping Chest X-rays Reconstruction algorithms Lung Sensors X-ray detectors Bone Foam Computed tomography Chest imaging Control systems image filtering Imaging systems

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Sparse image Denoising Using Dictionary Constructed Based on Least Square Solution 2

Sparse Image Denoising Using Dictionary Constructed Based on...

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2nd IEEE International conference on Wireless Communications, Signal processing and Networking (WiSPNET)

作者： Ankarao, V. Sowmya, V. Soman, K. P. Amrita Univ Amrita Vishwa Vidyapeetham Amrita Sch Engn Ctr Computat Engn & Networking CEN Coimbatore Tamil Nadu India

ISBN: (纸本)9781509044429

Compressed sensing became a vital tool for image or signal reconstruction with less number of samples compared with the Nyquist rate. Among the existing algorithms for reconstruction of an image using compressed sensing, orthogonal matching pursuit algorithm is cost effective in terms of computational complexity. This algorithm provides a solution for overdetermined and underdetermined systems by minimizing the error functions using least square. This work concentrates on the construction of dictionary which can be used to solve the sparsity based image denoising problem. In this paper, we constructed the dictionary using least square solution subjected to thresholding conditions such as hard, soft and semi-soft. Orthogonal matching pursuit (OMP) algorithm avoids the selection of the same atom in every iteration, due to the existence of orthogonal property between the residue and the atom selected from the dictionary. Thus, OMP algorithm results in precise image reconstruction. The proposed method is validated on four standard test images, such as Lena, Boat, Barbara and Cameraman with different noises such as salt & pepper noise, Gaussian noise and speckle noise with varying the percentage of noise level from 5% to 40%. Obtained results are evaluated by the quality metric peak-to-signal-noise ratio (PSNR) and compared with the existing wavelet based sparse image denoising. The experimental evaluation shows that the proposed method is better applicable to remove the speckle noise and salt & pepper noise when compared with the existing wavelet based sparse image denoising.

关键词： Compressed sensing image denoising matching pursuit algorithm least squares

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ASePPI, an Adaptive Scrambling enabling Privacy Protection and Intelligibility in H.264/AVC

ASePPI, an Adaptive Scrambling enabling Privacy Protection a...

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European Signal processing conference

作者： Natacha Ruchaud Jean-Luc Dugelay Eurecom Sophia-Antipolis France

The usage of video surveillance systems increases more and more every year and protecting people privacy becomes a serious concern. In this paper, we present ASePPI, an Adaptive Scrambling enabling Privacy Protection and Intelligibility. It operates in the DCT domain within the H.264 standard. For each residual block of the luminance channel inside the region of interest, we encrypt the coefficients. Whereas encrypted coefficients appear as noise in the protected image, the DC value is dedicated to restore some of the original information. Thus, the proposed approach automatically adapts the level of protection according to the resolution of the region of interest. Comparing to existing methods, our framework provides better privacy protection with some flexibilities on the appearance of the protected version yielding better visibility of the scene for monitoring. Moreover, the impact on the source coding stream is negligible. Indeed, the results demonstrate a slight decrease in the quality of the reconstructed images and a small percentage of bits overhead.

关键词： Privacy Encryption image coding image resolution Cameras Signal processing algorithms

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An overview of image matching algorithms from two radically points of view 2

An overview of image matching algorithms from two radically ...

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2nd International conference on image processing, Applications and systems (IPAS)

作者： Dhouha, Bannour Khaled, Kaaniche Hassen, Mekki Univ Sfax Natl Sch Engn Sfax CEM Lab Sfax Tunisia Univ Sousse Natl Sch Engineers Sousse Sousse Tunisia

ISBN: (纸本)9781509016457

This paper presents a study on the exploitation of visual information from two points of view radically different. Computer vision is a branch of artificial intelligence that focuses on the extraction of useful information in an image. image matching is a fundamental aspect of many problems in computer vision. Several algorithms have been developed for this purpose. Based on this research, this paper present all the previous work reviewed.

关键词： image matching features dectection features extraction two radcally different points of view

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Vision-based people detection using depth information for social robots: An experimental evaluation

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INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC systems 2017年第3期14卷

作者： Ramey, Arnaud Castro-Gonzalez, Alvaro Malfaz, Maria Alonso-Martin, Fernando Salichs, Miguel A. Univ Carlos III Madrid Av Univ 30 Madrid Spain

Robots are starting to be applied in areas which involve sharing space with humans. In particular, social robots and people will coexist closely because the former are intended to interact with the latter. In this context, it is crucial that robots are aware of the presence of people around them. Traditionally, people detection has been performed using a flow of two-dimensional images. However, in nature, animals' sight perceives their surroundings using color and depth information. In this work, we present new people detectors that make use of the data provided by depth sensors and red-green-blue images to deal with the characteristics of human-robot interaction scenarios. These people detectors are based on previous works using two-dimensional images and existing people detectors from different areas. The disparity of the input and output data used by these types of algorithms usually complicates their integration into robot control architectures. We propose a common interface that can be used by any people detector, resulting in numerous advantages. Several people detectors using depth information and the common interface have been implemented and evaluated. The results show a great diversity among the different algorithms. Each one has a particular domain of use, which is reflected in the results. A clever combination of several algorithms appears as a promising solution to achieve a flexible, reliable people detector.

关键词： Social robotics people detection user detection kinect depth sensor depth image processing ROS benchmarking

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IMU Based Adaptive Blur Removal Approach using image processing for Railway Inspection 23

IMU Based Adaptive Blur Removal Approach using Image Process...

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23rd International conference on systems, Signals and image processing (IWSSIP)

作者： Santur, Yunus Karakose, Mehmet Aydin, Ilhan Akin, Erhan Firat Univ Dept Comp Engn Elazig Turkey

ISBN: (纸本)9781467395557

Rail transportation systems, which are commonly used in today's world, should be inspected at certain intervals for possible accidents. During the rail inspection, the physical vibration on rail lines causes a blurring effect on the images. Doing deblurring automatically requires information of blurring rates and specifying the parameters accordingly for deblurring. With this purpose, a test equipment which can move on rail lines and a camera system for the detection of blurring and deblurring is integrated with Inertial Measurement Unit (EMU) is promoted in this study. Then, with Attitude and Heading Reference System (AHRS) algorithm, the effect of blurring at the moment of the vibration is examined, point spread function (PSF) value is chosen dynamically and deblurring is achieved. In order to increase the accuracy rates of detection algorithms, a pretreatment method is proposed for detecting the blur effect and removing it.

关键词： Inertial Measurement Units Deblurring Rail Inspection AHRS image processing Anomaly Detect

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Traffic light detection for colorblind individuals

Traffic light detection for colorblind individuals

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IEEE Jordan conference on Applied Electrical Engineering and Computing Technologies (AEECT)

作者： Jamal Al-Nabulsi Abdelwadood Mesleh Adnan Yunis Biomedical Engineering Department The Hashemite University Zarqa Jordan Department of Medical Engineering Al-Ahliyya Amman University Amman Jordan Computer Engineering Department Al-Balqa’ Applied university Jordan

This paper proposed an algorithm that detects traffic light colors for colorblind individuals, the proposed algorithm employs image processing techniques associated in image processing toolbox in LabVIEW to help colorblind individuals in identifying the colors of traffic lights. It uses a fixed mobile camera to capture traffic light images taken in different roads and streets in Jordan and Kuwait. It detects traffic lights by comparing the candidate traffic light with some in-house collected traffic light templates, comparison is based on correlation. The templates represent 22 different shapes of traffic lights in Jordan and Kuwait. Finally, the algorithm extracts the green and the red planes and recognizes their colors. Experimental results reveal the accuracy of proposed algorithm in identifying the colors of traffic lights in different cases and circumstances. Hence, our proposed algorithm is helpful for colorblind drivers.

关键词： image color analysis Cameras Vehicles Vision defects image recognition Detection algorithms Real-time systems

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ProxImaL: Efficient image Optimization using Proximal algorithms

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ACM TRANSACTIONS ON GRAPHICS 2016年第4期35卷 1-15页

作者： Heide, Felix Diamond, Steven Niessner, Matthias Ragan-Kelley, Jonathan Heidrich, Wolfgang Wetzstein, Gordon Stanford Univ Stanford CA 94305 USA Univ British Columbia Vancouver BC V5Z 1M9 Canada KAUST Thuwal Saudi Arabia

Computational photography systems are becoming increasingly diverse, while computational resources-for example on mobile platforms-are rapidly increasing. As diverse as these camera systems may be, slightly different variants of the underlying image processing tasks, such as demosaicking, deconvolution, denoising, inpainting, image fusion, and alignment, are shared between all of these systems. Formal optimization methods have recently been demonstrated to achieve state-of-the-art quality for many of these applications. Unfortunately, different combinations of natural image priors and optimization algorithms may be optimal for different problems, and implementing and testing each combination is currently a time-consuming and error-prone process. ProxImaL is a domain-specific language and compiler for image optimization problems that makes it easy to experiment with different problem formulations and algorithm choices. The language uses proximal operators as the fundamental building blocks of a variety of linear and nonlinear image formation models and cost functions, advanced image priors, and noise models. The compiler intelligently chooses the best way to translate a problem formulation and choice of optimization algorithm into an efficient solver implementation. In applications to the image processing pipeline, deconvolution in the presence of Poisson-distributed shot noise, and burst denoising, we show that a few lines of ProxImaL code can generate highly efficient solvers that achieve state-of-the-art results. We also show applications to the nonlinear and nonconvex problem of phase retrieval.

关键词： computational photography digital image processing optimization

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Automatic traffic sign detection and recognition using moment invariants and support vector machine

Automatic traffic sign detection and recognition using momen...

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International conference on Recent Innovations in Signal processing and Embedded systems (RISE)

作者： Sneha Agrawal Rahul Kumar Chaurasiya Department of Information Technology National Institute of Technology Raipur Raipur India Department of Electronics & Telecommunication National Institute of Technology Raipur Raipur India

ISBN: (纸本)9781509047611;9781509047604

Automatic traffic sign detection and recognition (TSDR) is one of the most significant areas of object detection. In spite of numerous researches, it has always been a challenging problem. In this paper, an approach for detecting circular and triangular traffic signs is proposed. The performance of the entire system is measured on German traffic sign detection benchmark (GTSDB) and German traffic sign recognition benchmark (GTSRB) dataset. Traffic signs are detected using color segmentation and thresholding method in Hue Saturation Intensity (HSI) color space. Then, the shape of traffic signs is detected using geometric invariant Hu moments. Further, the features are extracted using a technique called HSI-HOG descriptor where features are extracted from each channel of HSI independently. To select the most discriminant features with minimal loss of information, dimensionality reduction technique Principal Component Analysis (PCA) is applied and classification is performed using Support Vector Machine (SVM) technique.

关键词： image color analysis Shape Feature extraction image segmentation Lighting Support vector machines Classification algorithms

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IPI NOISE REDUCTION BY image MASK USING DNA CODING METHOD IN HOLOGRAPHIC DATA STORAGE SYSTEM

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ASME conference on Information Storage and processing systems

作者： Kim, Jang Hyun Yang, Hyunseok Yonsei Univ Ctr Informat Storage Device Seoul 03722 South Korea Yonsei Univ Sch Mech Engn Seoul 03722 South Korea

ISBN: (纸本)9780791849880

A holographic data storage system(HDSS) is very important field in the storage system device. Many researchers study the HDSS about image processing algorithm for reduction of image noise. In this work, we proposed an intelligence virtual mask, parameter values of virtual image mask generated using DNA coding method, it is available to decrease the IPI noise in HDSS. In this paper, an intensity distribution of laser beam in our HDSS is controlled by the virtual mask with an intelligence algorithm. The virtual mask value is changed arbitrarily in real-time with suggested DNA coding method in the HDSS.

关键词： algorithms Noise control Data storage systems Noise (Sound) Laser beams DNA Storage image processing

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