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Conference on Lasers and Electro-Optics (CLEO)

作者： Kim, YoungKyu Oh, Jeongmin Choi, Seung-ho Jung, Ah Ra Lee, Yoon Se Lee, June-Goo Kim, Jun Ki Asan Med Ctr Asan Inst Life Sci Biomed Engn Res Ctr 88 Olymp Ro43 Gil Seoul 05505 South Korea Univ Ulsan Dept Convergence Med Coll Med Ulsan South Korea Univ Ulsan Coll Med Asan Med Ctr Dept Otolaryngol Seoul South Korea

ISBN: (数字)9781943580767

ISBN: (纸本)9781943580767

In recent, performances of smartphones are highly developed and they can acquire high resolution image with high framerates. The objective of this study is the development of smartphone-based laryngoscope to reduce the cost of device and demonstrate possibility of highspeed vocal cord imaging by utilizing high performance smartphone camera. We designed customized smartphone adapter for combining clinical laryngoscope and Samsung smartphone. By attaching conventional clinical probes into our customized smartphone adaptor, the high- speed vocal cord endoscopic images were acquired. We could confirm the high-speed digital images of 940fps were acquired from 5 healthy volunteers as a preliminary study. (C) 2020 The Author(s)

关键词： Clinical applications Endoscopic imaging High speed imaging image processing algorithms image sensors Spatial resolution

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Implementation of Parallel Morphological Filter with Different Structuring Elements

Implementation of Parallel Morphological Filter with Differe...

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IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (IEEE ICPCSI)

作者： Pandey, Ritesh Kumar Mathurkar, S. S. GCOE Elect & Telecommun Dept Amravati India

ISBN: (纸本)9781538608142

This paper gives comparative analysis of parallel morphological filter with previously designed morphological filters. In this paper, implementation is done for gray image using various structuring elements. In past, multiple systems have been developed that have huge latency and fewer throughputs. This system reduced latency and improved through by using parallel approach. It provides a programmable and efficient implementation of basic morphological operators such as Dilation and Erosion using efficient parallel technique for different applications. It reduces processing time with respect to image dimension. Here performance analysis is based on different shape and size of structuring elements which support parallelism. MATLAB R2013a and Xilinx Design Suite 13.1 ISE are used for synthesizing this architecture that is verified by using Xilinx ISIM Simulator and prototyped on Spartan 3E FPGA Board. The proposed architecture is examined on different gray scale images.

关键词： Morphological filters image processing algorithms MATLAB simulation FPGA model Parallel Morphological Filter

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Design and implementation of a 3DOF optical precision sensor integrated in micro-robots

Design and implementation of a 3DOF optical precision sensor...

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3rd International Conference on Design and Technology of Integrated Systems in Nanoscale Era (DTIS)

作者： Dave, Nipun Abdelkefi, Fatma Breguet, Jean-Marc IEEE

ISBN: (纸本)9781424415762

This paper proposes a low cost and small design of 3 Degrees of Freedom (3-DOF) sensors. The main objective of these sensors is to measure precisely the absolute position X,Y and theta(z) with a high resolutions. The principle of this design relies on a target with a specific periodic pattern with absolute position information encoded in it. To improve the reliability and the resolution of the absolute position of the target, we derived efficient and optimized (in term of complexity and time of computation) image processing algorithms.

关键词： 3-DOF sensors micro-robots absolute position image processing algorithms

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A gain-enhanced silicon-photonic optical phased array with integrated O-band amplifiers for 40-m ranging and 3D scan

A gain-enhanced silicon-photonic optical phased array with i...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Byun, Hyunil Lee, Jisan Jang, Bongyong Lee, Changbum Lee, Eunkyung Hwang, Inoh Shin, Changgyun Shin, Dongjae Shim, Dongshik Otsuka, Tatsuhiro Hwang, Sungwoo Choo, Hyuck Ha, Kyoungho Samsung Adv Inst Technol Samsung Elect 130 Samsung Ro Suwon South Korea

For the first time, we demonstrate 40-m range detection and 3D depth scan up to 20 m using a silicon-photonic optical phased array with integrated amplifiers, promising a high-performance solid-state light-detection a... 详细信息

ISBN: (数字)9781943580767

ISBN: (纸本)9781943580767

关键词： Grating couplers image processing algorithms Laser beams Phased arrays Range finding Tunable lasers

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Automated detection of remineralization in simulated enamel lesions with PS-OCT

Automated detection of remineralization in simulated enamel ...

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Conference on Lasers in Dentistry XX

作者： Lee, Robert C. Darling, Cynthia L. Fried, Daniel Univ Calif San Francisco San Francisco CA 94143 USA

ISBN: (纸本)9780819498427

Previous in vitro and in vivo studies have demonstrated that polarization-sensitive optical coherence tomography (PS-OCT) can be used to nondestructively image the subsurface structure and measure the thickness of the highly mineralized transparent surface zone of caries lesions. There are structural differences between active lesions and arrested lesions, and the surface layer thickness may correlate with activity of the lesion. The purpose of this study was to develop a method that can be used to automatically detect and measure the thickness of the transparent surface layer in PS-OCT images. Automated methods of analysis were used to measure the thickness of the transparent layer and the depth of the bovine enamel lesions produced using simulated caries models that emulate demineralization in the mouth. The transparent layer thickness measured with PS-OCT correlated well with polarization light microscopy (PLM) measurements of all regions (r(2)=0.9213). This study demonstrates that PS-OCT can automatically detect and measure thickness of the transparent layer formed due to remineralization in simulated caries lesions.

关键词： Enamel caries PS-OCT image processing algorithms edge-detection remineralization

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Quantitative label-free technique for morphological evaluation of human sperm-a promising tool in semen evaluation

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OSA CONTINUUM 2018年第4期1卷 1215-1225页

作者： Poola, Praveen Kumar Jayaraman, Varshini Chaithanya, K. Rao, Durga John, Renu Indian Inst Technol Hyderabad Dept Biomed Engn Kandi 502285 Telangana India Univ Hyderabad Sch Life Sci Dept Anim Biol Hyderabad 500046 Telangana India Oasis Ctr Reprod Med Hyderabad 500034 Telangana India

We present results from non-interferometric quantitative phase imaging (QPI) for thickness estimation and morphological analysis of human spermatozoa. QPI along with algorithms for image processing enable localization and quantification of subcellular structures of spermatozoa, including the acrosomal, nuclear, mid-piece, and tail regions. This approach based on the transport of intensity equation (TIE) using a simple bright-field microscope renders quantitative phase image with nanometric depth sensitivity, allowing the precise subcellular structural resolution of human spermatozoa. We demonstrate the potential of TIE in real-time phase imaging and the morphological analysis of spermatozoa. We first calibrate the TIE using micro-beads and a standard phase target of known dimensions. image processing for quantitative volume estimation of nuclei and acrosomal regions is carried out on the reconstructed quantitative phase images. We also apply a Hilbert transform-based image processing algorithm to the retrieved phase for visualization of vacuoles present on the sperm head. (C) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

关键词： image processing image processing algorithms Imaging techniques Interference microscopy Phase imaging X ray imaging

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The need of annotation for reference image data sets

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International Congress Series 2005年 1281卷 453-458页

作者： Wittenberg, Thomas Fraunhofer Institute for Integrated Circuits IIS Erlangen Germany

Closely related to the development process of novel image processing algorithms is always the need for a systematic training and evaluation of these methods. Thus, a predefined set of images (so-called reference images) are needed, to evaluate the performance of new methods with respect to some metric. To obtain such a metric during the evaluation process, the results of the new methods have to be compared to a valid ground truth, commonly also known as "gold standard". This ground truth itself needs to be acquired and annotated systematically with respect to the image processing task to be evaluated. Hence, this work deals with the need for reference image data sets for the evaluation of new image processing methods, discusses requirements for a proper annotation for any such reference image data sets, and finally gives an example for an annotation tool for reference image data sets. © 2005 CARS and Elsevier B.V.

关键词： Annotation Evaluation Gold standard Ground truth image processing algorithms Reference image data sets

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Line Estimation using the Viterbi Algorithm and Track-Before-Detect Approach for Line Following Mobile Robots 19

Line Estimation using the Viterbi Algorithm and Track-Before...

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19th International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Mazurek, Przemyslaw West Pomeranian Univ Technol Szczecin Dept Signal Proc & Multimedia Engn PL-71126 Szczecin Poland

ISBN: (纸本)9781479950812

Line following robots requires image acquisition and processing algorithms for the determination of the line trajectory. The Viterbi algorithm is proposed for the estimation of the line trajectory in this paper. The robustness of this algorithm is verified using the Monte Carlo approach for two distortions types: additive Gaussian noise and false lines sets. The results show possibilities of reliable estimation, even if the real line is hidden in the noise, without the application of additional estimators based on the previous measurements.

关键词： Gaussian noise Monte Carlo methods maximum likelihood estimation mobile robots object detection object tracking path planning robot vision Monte Carlo approach Viterbi algorithm additive Gaussian noise false line sets image acquisition algorithms image processing algorithms line estimation line following mobile robots line trajectory estimation track-before-detect approach Estimation Mobile robots Noise Trajectory Viterbi algorithm Mobile robots Monte Carlo technique Gaussian noise robot vision image processing algorithm trajectory Object detection Path planning maximum likelihood estimation Noise

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Fungi Classification: Enhancing Diagnosis using Deep Learning 2

Fungi Classification: Enhancing Diagnosis using Deep Learnin...

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2nd IEEE World Conference on Communication and Computing (WCONF)

作者： Bhimavarapu, Jasmitha Chinta, Anuradha Movva, Sreelakshmi Vineetha Jampani, Jaya Prudhvi VR Siddhartha Engn Coll Dept CSE Vijayawada Andhra Pradesh India

ISBN: (纸本)9798350395334;9798350395327

In the field of medical diagnostics, accurately identifying fungal infections on time is critical for effective treatment. The conventional methods rely on microscopic examination and often struggle to differentiate between fungal species due to their visual similarities. This challenge leads to the need for additional, time-consuming biochemical tests, causing further delays in treatment and increasing the patient's risk of mortality. In this framework, the study undertakes a comprehensive exploration into the classification of fungal species, utilizing the DeFungi dataset. This curated repository of microscopic fungi images, capturing infections caused by yeasts, moulds, or dermatophyte fungi, serves as the foundation of our investigation. With advanced automated algorithms for image processing, we prepare the dataset for analysis, the MobileNetV3 algorithm. Employing a traditional deep learning methodology approach, we evaluate its effectiveness in fungal classification, achieving an impressive accuracy of 92.89%. This pioneering effort not only enhances automated diagnostic capabilities but also ushers in a new era of precision medicine in medical mycology, ultimately transforming clinical practices and improving patient outcomes.

关键词： Medical diagnostics Fungal classification image processing algorithms DeFungi dataset MobileNetV3 Deep learning

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VIMARSHAK - A Web Based Subjective image Evaluation System

VIMARSHAK - A Web Based Subjective Image Evaluation System

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5th International Conference on Signal and image processing (ICSIP)

作者： Garg, Gazal Mondal, Prasenjit Aswatha, Shashaank M. Mukherjee, Jit Maji, Tapas Mukherjee, Jayanta Indian Inst Technol Dept Comp Sci & Engn Kharagpur 721302 W Bengal India

ISBN: (纸本)9780769551005

In this paper, a secured web based online subjective image evaluation system has been proposed to assess different image processing algorithms. Since many image processing algorithms are designed to enhance the human perception of available image cues, subjective evaluation plays an important role in the assessment of the same. The proposed technique assesses several similar processes by accumulation of votes by individual human evaluators through pairwise comparisons of their outputs. Three tournament strategies are used for the pairwise image comparisons, namely knockout, challenging, and round-robin. The experiments show a satisfactory result in evaluation of accumulated ensemble of evaluators' votes, which is validated using Berkeley boundary detection benchmark dataset.

关键词： Internet edge detection image processing Berkeley boundary detection VIMARSHAK Web based online subjective image evaluation system human perception image cues image processing algorithms pairwise image comparisons Algorithm design and analysis Databases Electronic mail Games image quality Security Subjective perception online evaluation system tournament strategies

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