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8th International Conference on Soft Computing and Pattern Recognition (SoCPaR) / 8th International Conference on Computational Aspects of Social Networks (CASoN)

作者： Chinmayi, P. Agilandeeswari, L. Prabukumar, M. VIT Univ Sch Informat Technol & Engn Vellore Tamil Nadu India

ISBN: (纸本)9783319606187;9783319606170

Due to the tremendous increase in the usage of computer technologies, image-processing techniques have become one among the most important and rapidly used one in a wide variety of applications, especially in medical imaging. The basic idea of the medical image analysis is to improve the imaging content. A typical medical imaging system is composed of five main processing steps namely, image acquisition, enhancement, segmentation, feature extraction/selection and classification. In this paper, we have done a study on the current state - of - art techniques that have been used in various stages of medical image analysis. The methodologies used and technical issues in each stage have been discussed. In addition, this paper also addresses the challenges faced by researchers during the implementation and outline of the pros and cons of the existing algorithms.

关键词： Medical image analysis Enhancement Segmentation Feature extraction Classification

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Signal processing for Optical Communication System Assisted by Computer Vision Techniques 10

Signal Processing for Optical Communication System Assisted ...

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10th International Conference on Advanced Infocomm Technology (ICAIT)

作者： Bo, Tianwai Chan, Calvin Chun-Kit Kim, Hoon Korea Adv Inst Sci & Technol Sch Elect Engn 291 Daehak Ro Daejeon 34141 South Korea Chinese Univ Hong Kong Dept Informat Engn Hong Kong Peoples R China

ISBN: (纸本)9781538679364

We review the recent progress on the application of image processing techniques to optical communication systems. The focus is placed mainly on the implementation complexity and performance of the techniques for optical performance monitoring and the compensation of common phase error. We also briefly introduce several applications where machine learning algorithms could be beneficial to fiber-optic transmission system.

关键词： digital signal processing image processing optical communications

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A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography B-scans

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COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2018年 153卷 105-114页

作者： Girish, G. N. Anima, V. A. Kothari, Abhishek R. Sudeep, P. V. Roychowdhury, Sohini Rajan, Jeny Natl Inst Technol Karnataka Dept Comp Sci & Engn Surathkal India Pink City Eye & Retina Ctr Jaipur Rajasthan India Natl Inst Technol Karnataka Dept Elect & Commun Engn Surathkal India Manipal Inst Technol Dept Elect & Commun Engn Manipal Karnataka India Univ Washington Dept Elect & Comp Engn Bothell WA USA

(Background and objectives): Retinal cysts are formed by accumulation of fluid in the retina caused by leakages from inflammation or vitreous fractures. Analysis of the retinal cystic spaces holds significance in detection and treatment of several ocular diseases like age-related macular degeneration, diabetic macular edema etc. Thus, segmentation of intra-retinal cysts and quantification of cystic spaces are vital for retinal pathology and severity detection. In the recent years, automated segmentation of intra-retinal cysts using optical coherence tomography B-scans has gained significant importance in the field of retinal image analysis. The objective of this paper is to compare different intra-retinal cyst segmentation algorithms for comparative analysis and benchmarking purposes. (Methods): In this work, we employ a modular approach for standardizing the different segmentation algorithms. Further, we analyze the variations in automated cyst segmentation performances and method scalability across image acquisition systems by using the publicly available cyst segmentation challenge dataset (OPTIMA cyst segmentation challenge). (Results): Several key automated methods are comparatively analyzed using quantitative and qualitative experiments. Our analysis demonstrates the significance of variations in signal-to-noise ratio (SNR), retinal layer morphology and post-processing steps on the automated cyst segmentation processes. (Conclusion): This benchmarking study provides insights towards the scalability of automated processes across vendor-specific imaging modalities to provide guidance for retinal pathology diagnostics and treatment processes. (C) 2017 Elsevier B.V. Allrights reserved.

关键词： Computer-aided diagnostics Cyst Macular edema Optical coherence tomography Retinal image Segmentation

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一种基于压缩感知和多维混沌系统的多过程图像加密方案

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物理学报 2019年第20期68卷 33-46页

作者：石航王丽丹非线性电路与智能信息处理重庆市重点实验室重庆400715 西南大学电子信息工程学院重庆400715 智能传动和控制技术联合工程实验室重庆400715 类脑计算与智能控制重庆市重点实验室重庆400715 重庆市脑科学协同创新中心重庆400715 西南大学西塔学院重庆400715

随着计算机科学的快速发展,信息的存储和传播常常在各类计算机硬件以及多种网络之间进行,传统的信息加密方案已逐渐不再适用.因此,基于计算机的信息加密算法近年来逐步成为研究热点.通过结合小波包变换、压缩感知、混沌系统等理论,一种... 详细信息

随着计算机科学的快速发展,信息的存储和传播常常在各类计算机硬件以及多种网络之间进行,传统的信息加密方案已逐渐不再适用.因此,基于计算机的信息加密算法近年来逐步成为研究热点.通过结合小波包变换、压缩感知、混沌系统等理论,一种基于压缩感知和多维混沌系统的多过程图像加密方案被提出.该加密方案实现了针对灰度图像的压缩和加密及对应的解压、解密过程.小波包变换理论被应用到图像的预处理阶段对原始图像进行小波包分解,同时结合阈值处理方法对分解后所得的图像信号分量进行分类,并在之后的处理过程中根据图像信号分量的特性对其有区分地进行压缩、加密或者保留.在图像压缩阶段,引入压缩感知算法克服传统采样定理采样成本高及重构质量偏低等弊端.在图像加密阶段,结合多类、多维度混沌系统对相关图像信号分量进行置乱.最后,应用压缩、加密以及小波包变换的逆过程实现对原始图像的完整重构.仿真结果表明,该图像加密方案在抵抗外界干扰时凭借算法鲁棒性有效地保护了密文图像的基本信息,且在应对明文攻击等破解手段时不泄露任何有用信息.此外,经该加密方案加密后的密文图像的信息熵及相关系数等指标相比于参考文献中加密算法更加接近于理想值,其加密性能有明显的提升.

关键词：数字图像加密小波包变换压缩感知

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Glottocorrelographic Visualization of Normal and Pathological Vocal Folds Oscillations from Videolaryngostroboscopic images 20th

Glottocorrelographic Visualization of Normal and Pathologica...

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20th Polish Conference on Biocybernetics and Biomedical Engineering (PCBBE)

作者： Kopczynski, Bartosz Strumillo, Pawel Niebudek-Bogusz, Ewa Lodz Univ Technol Inst Elect Lodz Poland Nofer Inst Occupat Med Dept Audiol & Phoniatr Lodz Poland

ISBN: (纸本)9783319669052

Videostroboscopy is a common technique used by phoniatricians for diagnosing vocal folds status by imaging their oscillations. Implementation of image processing methods allows to extract qualitative description and quantitative indices. Such an analysis approach allows to detect glottal pathological changes and monitor the voice quality. Presented analysis of the videostroboscopic sequences were carried for 12 individuals i.e. 6 patients with diagnosed vocal nodules and 6 normophonic individuals classified as a control group. image pre-processing and image segmentation algorithms were applied to compute the glottal area waveform (GAW) and the glottovibragram during phonation and to build a novel representation of vocal folds oscillations which we called the glottocorrelogram. The obtained results confirm that computer analysis and new representations of the phonation process of the glottis can aid the phoniatricians in diagnosis of voice disorders.

关键词： Medical imaging image processing Vocal folds Laryngology

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A flexible mixed-signal image processing pipeline using 3D chip stacks

A flexible mixed-signal image processing pipeline using 3D c...

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作者： Shi, Lan Soell, Christopher Pfundt, Benjamin Baenisch, Andreas Reichenbach, Marc Seiler, Juergen Ussmueller, Thomas Weigel, Robert Institute for Electronics Engineering University of Erlangen-Nuremberg Cauerstr. 9 Erlangen91058 Germany Chair of Computer Architecture University of Erlangen-Nuremberg Martensstr. 3 Erlangen91058 Germany Chair of Multimedia Communications and Signal Processing University of Erlangen-Nuremberg Cauerstr. 7 Erlangen91058 Germany Institute for Mechatronics University of Innsbruck TechnikerstrasseInnsbruck6020 Austria

This work presents a highly flexible mixed-signal CMOS image sensor suitable for smart camera applications. These systems need to fit different constraints regarding power consumption, speed and quality, and the optimal compromise may differ depending on the application. Moreover, the best implementation of a desired image processing task may be in the analog or the digital domain, or even a combined computation. Different aspects starting from the image sensor and signal acquisition up to the pre-processing in analog and digital domain are investigated in this paper to optimize not just one part of the system, but the whole system altogether. Moreover, it is shown that analog processing algorithms can improve signal quality, processing speed and latency while being able to save power, which is important for real-time systems. In order to be able to carry out spatial operations, the state-of-the-art sensor is modified to be able to read out multiple pixels at the same time. This allows analog spatial filter operations which consume significantly less power. As an example, an averaging filter is described which needs less than 5.3 % of the power–time product of a digital implementation for one computation. To enhance data throughput and flexibility, 3D chip stacking is proposed to partition the sensor in smaller units and enable massively parallel processing. © 2016, Springer-Verlag Berlin Heidelberg.

关键词： Real time systems

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Fireworks Algorithm Based image Registration 7th

Fireworks Algorithm Based Image Registration

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7th International Workshop on Soft Computing Applications (SOFA)

作者： Bejinariu, Silviu-Ioan Costin, Hariton Rotaru, Florin Luca, Ramona Nita, Cristina Diana Lazar, Camelia Romanian Acad Inst Comp Sci Iasi Branch Iasi Romania Grigore T Popa Univ Med & Pharm Fac Med Bioengn Iasi Romania

ISBN: (纸本)9783319625218

In the image processing (IP) domain, optimization algorithms have to be applied in many cases. Nature-inspired heuristics allow obtaining near optimal solutions using lower computing resources. In this paper the Fireworks Algorithm (FWA) behavior is studied for image Registration (IR) problems. The IR results accuracy is analyzed for different types of images, mainly in case of pixel based registration using the Normalized Mutual Information. FWA is compared to Particle Swarming (PSO), Cuckoo Search (CSA) and Genetic algorithms (GA) in terms of results accuracy and number of objective function evaluations required to obtain the optimal geometric transform parameters. Because the pixel based IR may fail in case of images containing graphic drawings, a features based IR approach is proposed for this class of images. Comparing to other nature inspired algorithms, FWA performances are close to those of PSO and CSA in terms of accuracy. Considering the required computing time, that is determined by the number of cost function evaluations, FWA is little slower than PSO and much faster than CSA and GA.

关键词： Fireworks Algorithm Optimization image registration

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Embedded Cell Count Algorithm for Cultured Tissue Characterization

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IFAC-PapersOnLine 2018年第30期51卷 683-687页

作者： Yusifli, Elmar Yahiaoui, Reda Lajoie, Isabelle Yusifov, Salahaddin Nanomedicine Laboratory UBFC Besancon France Femto-ST Institute Besancon France Bourgogne Franche-Comte University Besancon France Azerbaijan State Oil and Industry University Baku Azerbaijan

Regenerated tissue is a one of the wide developing research topics of nowadays. The characterization of tissue in culture permits to regulate its final mechanical properties and to test the influence of pharmaceutical and cosmetic products on it. For this purpose, an embedded vision system was developed in order to characterize the mechanical properties of tissue in culture. Thus, the aim of the present study was to develop an embedded, automated and portable cell count algorithm which can quantify the fibroblast cells from the fluorescent images taken by developed FPGA driven embedded high definition (HD) camera module. The developed algorithm was integrated into “uCell” software and tested on fluorescent images. The automated cell counting results were compared with manual counting and showed that the algorithm is reliable in 95% percentage of cases. © 2016

关键词： Biomechanics algorithms Bioinformatics Cell culture Cells Digital television Embedded systems Fluorescence image processing Mechanical properties Software testing Tissue Biomedical systems Control applications Cosmetic products Embedded visions Fibroblast cells Fluorescent images Research topics Tissue characterization

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TADAM: Task dependent adaptive metric for improved few-shot learning 32

TADAM: Task dependent adaptive metric for improved few-shot ...

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32nd Conference on Neural Information processing systems (NIPS)

作者： Oreshkin, Boris N. Rodriguez, Pau Lacoste, Alexandre Element AI Montreal PQ Canada UAB CVC Barcelona Spain

Few-shot learning has become essential for producing models that generalize from few examples. In this work, we identify that metric scaling and metric task conditioning are important to improve the performance of few-shot algorithms. Our analysis reveals that simple metric scaling completely changes the nature of few-shot algorithm parameter updates. Metric scaling provides improvements up to 14% in accuracy for certain metrics on the mini-imagenet 5-way 5-shot classification task. We further propose a simple and effective way of conditioning a learner on the task sample set, resulting in learning a task-dependent metric space. Moreover, we propose and empirically test a practical end-to-end optimization procedure based on auxiliary task co-training to learn a task-dependent metric space. The resulting few-shot learning model based on the task-dependent scaled metric achieves state of the art on mini-imagenet. We confirm these results on another few-shot dataset that we introduce in this paper based on CIFAR100.

关键词： image enhancement

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Topology-Aware Task Allocation for Distributed Stream processing with Latency Guarantee 18

Topology-Aware Task Allocation for Distributed Stream Proces...

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2nd International Conference on Advances in image processing (ICAIP) / 2nd International Conference on Software Engineering and Development (ICSED

作者： Wei, Xiaohui Wei, Xun Li, Hongliang Zhuang, Yuan Yue, Hengshan Jilin Univ Coll Comp Sci & Technol Changchun Peoples R China Minist Educ Key Lab Symbol Computat & Knowledge Engn Changchun Peoples R China

ISBN: (纸本)9781450364607

Nowadays it becomes more and more critical to process the increasingly large amounts of data in timely manner. In order to meet this requirement and ensure the reliable processing of streaming data, a variety of distributed stream processing architectures and platforms have been developed, which handles the fundamental task of allocating processing tasks to the currently available physical resources and routing streaming data between these resources. However, many stream processing systems lack an intelligent scheduling mechanism, in which their default schedulers allocate tasks without taking resource demands and availability, or the transfer latency between resources into consideration. Besides stream processing has a strict request for latency. Thus it's important to give latency guarantee for distributed stream processing. In this paper, we propose a new algorithm for stream processing with latency guarantee, the algorithm both consider transfer latency and resource demand in the process of task allocation. Extensive experiments verify the correctness and effectiveness of our approach. Under the condition of satisfying the latency constraints, the heuristic algorithm AHA on average, reduce more than 21.3% and 58.9% resources compared with the greedy and the round-robin algorithms.

关键词： Distributed stream processing Task allocation Transfer latency

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