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Multimorphological top-hat-based multiscale target classification algorithm for real-time image processing

APPLIED OPTICS 2019年第22期58卷 6045-6056页

作者： Chen, Zhenzhen Xing, Fei You, Zheng Wei, Minsong Zhan, Haiyang Tsinghua Univ Dept Precis Instrument Beijing 10084 Peoples R China Tsinghua Univ State Key Lab Precis Measurement Technol & Instru Beijing 10084 Peoples R China Univ Calif Berkeley Dept Mech Engn Berkeley CA 94720 USA

The traditional top-hat method is a commonly used method that quickly separates targets from a background. It is used for its fast processing speed and wide range of applications on programmable hardware. However, in some important fields such as microfluidic control, medicine, aerospace, and optical measurement, the observed targets are often spotted with different sizes. The formation mechanism of multiscale spots varies from each other so that they can not be successfully extracted and classified by the traditional top-hat method. To ensure the integrity of targets with a specific size and suppressed noise, the imaging mechanism of different types of spots are studied, and an improved top-hat method with a gray-scale value-based transform is proposed. Compared with the traditional top-hat method, the proposed algorithm is more effective in completely removing unwanted spots. The calculated results of the simulated and real images verify the effectiveness of the double top-hat method in extracting targets with a specific size. Additionally, the resolution of this method is up to the parameter k, which has been discussed in this paper. Furthermore, a multi-top-hat algorithm is presented to distinguish spots of different sizes, and it could be used for real-time multiscale target detection and tracking, as well as real-time multiscale target detection and tracking. (C) 2019 Optical Society of America

关键词： Digital image processing Edge detection image analysis image fusion image processing algorithms Optical measurement

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Tunable-liquid-crystal-filter-based low-light-level color night vision system and its image processing method

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APPLIED OPTICS 2019年第18期58卷 4947-4955页

作者： Yuan, Tao Han, Zhenghao Li, Li Jin, Weiqi Wang, Xia Wang, Hailin Bai, Xiaofeng Beijing Inst Technol MOE Key Lab Optoelect Imaging Technol & Syst Beijing 100081 Peoples R China Sci & Technol Low Light Level Night Vis Lab Xian 710065 Shaanxi Peoples R China

We introduce and verify a single-channel time-division filtering low-light-level (LLL) color night vision system (3LCNV). The imaging scheme, comprising a tunable liquid crystal filter, three-generation GaAsP image intensifier, and CMOS camera, achieves LLL color imaging and ensures sensitivity. The image enhancement and color reconstruction algorithm flow suitable for LLL night vision combines overexposure-against white balance, color correction matrix (CCM) color correction, and color image denoising to improve color visibility and reduce color difference and image noise. The proposed night vision system extends the minimum working illuminance to 10(-4) lx and achieves natural and clear color LLL imaging, improving night-time observations. (C) 2019 Optical Society of America

关键词： image metrics image processing algorithms image quality Liquid crystal filters Reconstruction algorithms Visibility

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Identification of Demineralization Zones in Early Enamel Decay based on image Correlation between Scanning Electron Microscope (SEM) and Optical Coherence Tomography (OCT) 4

Identification of Demineralization Zones in Early Enamel Dec...

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European Conferences on Biomedical Optics - Optical Coherence Imaging Techniques and Imaging in Scattering Media IV

作者： Abdelrehim, Tamer Salah, Maha Sailer, Luke Chew, Hooi Pin Univ Minnesota Minnesota Dent Res Ctr Biomat & Biomech 16-256B Moos Tower 515 Delaware St SE Minneapolis MN 55455 USA Ain Shams Univ Fac Dent Restorat Dent Cairo Egypt Univ Minnesota Sch Dent 16-256B Moos Tower 515 Delaware St SE Minneapolis MN 55455 USA

Quantitative dental diagnostics by OCT is a challenge. Correlation of OCT/ SEM frames (n=23) has measured by MATLAB, as 86% for inter & intraprismatic. OCT can be used under certainly recommended colormap for the ... 详细信息

ISBN: (数字)9781510647152

ISBN: (纸本)9781510647152;9781510647145

关键词： Digital imaging Edge detection image processing image processing algorithms Optical coherence tomography Scanning electron microscopy

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Spatial images from temporal data

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OPTICA 2020年第8期7卷 900-905页

作者： Turpin, Alex Musarra, Gabriella Kapitany, Valentin Tonolini, Francesco Lyons, Ashley Starshynov, Ilya Villa, Federica Conca, Enrico Fioranelli, Francesco Murray-Smith, Roderick Faccio, Daniele Univ Glasgow Sch Comp Sci Glasgow G12 8QQ Lanark Scotland Univ Glasgow Sch Phys & Astron Glasgow G12 8QQ Lanark Scotland Politecn Milan Dipartimento Elettron Informaz & Bioingn I-20133 Milan Italy Delft Univ Technol Dept Microelect NL-2628 CD Delft Netherlands

Traditional paradigms for imaging rely on the use of a spatial structure, either in the detector (pixels arrays) or in the illumination (patterned light). Removal of the spatial structure in the detector or illumination, i.e., imaging with just a single-point sensor, would require solving a very strongly ill-posed inverse retrieval problem that to date has not been solved. Here, we demonstrate a data-driven approach in which full 3D information is obtained with just a single-point, single-photon avalanche diode that records the arrival time of photons reflected from a scene that is illuminated with short pulses of light. Imaging with single-point time-of-flight (temporal) data opens new routes in terms of speed, size, and functionality. As an example, we show how the training based on an optical time-of-flight camera enables a compact radio-frequency impulse radio detection and ranging transceiver to provide 3D images. Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

关键词： Detector arrays image processing image processing algorithms Imaging techniques Phase recovery Three dimensional imaging

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Extended depth-of-field imaging employing integrated binary phase pupil mask and principal component analysis image fusion

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OPTICS EXPRESS 2020年第16期28卷 23862-23873页

作者： Milgrom, Benjamin Avrahamy, Roy David, Tal Caspi, Avi Golovachev, Yosef Engelberg, Shlomo Jerusalem Coll Technol Dept Elect & Elect Engn POB 16031 IL-91160 Jerusalem Israel Ben Gurion Univ Negev Sch Elect & Comp Engn POB 653 IL-84105 Beer Sheva Israel Ben Gurion Univ Negev Dept Phys POB 653 IL-84105 Beer Sheva Israel

The imaging depth of field (DOF) of white-light illuminated objects is extended by carefully integrating two image-processing techniques, one optical and one digital. The optical technique makes use of a tailored phase mask positioned at the pupil of the imaging system to cause different color channels to have different focal lengths;accordingly, the phase-mask equipped imaging system acquires a high resolution and reasonably focused image in at least one of the three, red, green, blue (RGB), color channels at any location within the specified DOE The digital processing comprises fusing the separate RGB images with an original technique that implements principal component analysis to deliver the overall sharpest grayscale composite image throughout the DOF region. The obtained experimental results agree well with the theoretical predictions and demonstrate the capability of the integrated technique to extend the DOF. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

关键词： Extended depth of field image fusion image processing algorithms Imaging systems Wavefront encoding White light

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How to make a #theDress

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JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS image SCIENCE AND VISION 2020年第4期37卷 A202-A211页

作者： Witzel, Christoph Toscani, Matteo Univ Southampton Dept Psychol Southampton SO17 1BJ Hants England Justus Liebig Univ Giessen Expt Psychol Otto Behaghel Str 10F D-35392 Giessen Germany

If we completely understand how a phenomenon works, we should be able to produce it ourselves. However, the individual differences in color appearance observed with #theDress seem to be a peculiarity of that photo, and it remains unclear how the proposed mechanisms underlying #theDress can be generalized to other images. Here, we developed a simple algorithm that transforms any image with bicolored objects into an image with the properties of #theDress. We measured the colors perceived in such images and compared them to those perceived in #theDress. Color adjustments confirmed that observers strongly differ in how they perceive the colors of the new images in a similar way as for #theDress. Most importantly, these differences were not unsystematic, but correlated with how observers perceive #theDress. These results imply that the color distribution is sufficient to produce the striking individual differences in color perception originally observed with #theDress-at least as long as the image appears realistic and hence compels the viewer to make assumptions about illuminations and surfaces. The algorithm can be used for stimulus production beyond this study. (C) 2020 Optical Society of America

关键词： Blackbodies Color spaces image processing image processing algorithms Material properties Spatial resolution

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Rapid, Contact-Free, Multimodal, Non-Linear Optical Imaging for Collagen in Formalin-Fixed Paraffin-Embedded Tendon Tissues 3

Rapid, Contact-Free, Multimodal, Non-Linear Optical Imaging ...

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European Conferences on Biomedical Optics - Advances in Microscopic Imaging III

作者： Semon, Bryan Chriat, Alaa Wang, Haifeng Priddy, Lauren Lu, Lu Jaffe, Michael Ariunbold, Gombojav O. Mississippi State Univ Coll Arts & Sci Dept Phys & Astron 355 Lee Blvd Mississippi State MS 39762 USA Mississippi State Univ Dept Ind & Syst Engn 479-2 Hardy Rd Mississippi State MS 39762 USA Mississippi State Univ Dept Agr & Biol Engn 130 Creelman St Mississippi State MS USA Univ Tennessee Hlth Sci Ctr Dept Genet Genom & Informat 71 S Manassas St Memphis TN 38163 USA Mississippi State Univ Coll Vet Med Dept Vet Clin Sci 240 Wise Ctr Dr Mississippi State MS 39762 USA

A novel imaging system is developed to overcome the challenge of paraffin contamination in fixed tissues. Single-shot wide-field micro-images are captured to construct large-scale collagen-maps for understanding tendo... 详细信息

ISBN: (数字)9781510647114

ISBN: (纸本)9781510647114;9781510647107

关键词： Collagen Femtosecond fiber lasers Four wave mixing image processing algorithms Optical imaging Tissue

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Wide-band high-resolution synthetic imaging of a segmented large-scaled lightweight diffractive telescope

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OPTICS LETTERS 2020年第7期45卷 1790-1793页

作者： Liu, Yang Xie, Zongliang Ma, Haotong Chu, Junqiu Ma, Xiafei Tan, Yufeng Dun, Liu Bian, Jiang Hu, Hongyi Fan, Bin Qi, Bo Chinese Acad Sci Key Lab Opt Engn Chengdu 610209 Peoples R China Chinese Acad Sci Inst Opt & Elect Chengdu 610209 Peoples R China Univ Chinese Acad Sci Beijing 100039 Peoples R China

In this Letter, we report a segmented large-scaled lightweight diffractive telescope testbed newly built in our laboratory. The telescope, consisting of one 710-mm-diameter element in the center surrounded by eight 352-mm-diameter elements and a smaller eyepiece of achromatic lenses, can realize wide-band high-resolution imaging of 0.55-0.65 mu m. The stitching errors are coarsely corrected by adjusting the motion stage mounted on each element. In particular, an optical synthesis system inserted. behind the eyepiece is designed to compensate the residual tip-tilt-piston errors. We present the experimental imaging result of two stitched elements, which is the first successful experimental verification obtained by a practical segmented diffractive telescope to enhance the resolution. Moreover, spatial modulation diversity technology is used to restore the synthetic image so as to improve its quality and contrast. (C) 2020 Optical Society of America

关键词： Diffractive optical elements image processing algorithms image quality Optical imaging Stochastic gradient descent Stray light

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Moxifloxacin based axially swept wide-field fluorescence microscopy for high-speed imaging of conjunctival goblet cells

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BIOMEDICAL OPTICS EXPRESS 2020年第9期11卷 4890-4900页

作者： Lee, Jungbin Kim, Seonghan Yoon, Chang Ho Kim, Myoung Joon Kim, Ki Hean Pohang Univ Sci & Technol Dept Mech Engn 77 Cheongam Ro Pohang 37673 Gyeongbuk South Korea Seoul Natl Univ Dept Ophthalmol Coll Med 103 Daehak Ro Seoul 03080 South Korea Seoul Natl Univ Hosp Seoul Artificial Eye Ctr Lab Ocular Regenerat Med & Immunol Biomed Res Inst 101 Daehak Ro Seoul 03080 South Korea Renew Seoul Eye Ctr 528 Teheran Ro Seoul 06181 South Korea

Goblet cells (GCs) in the conjunctiva are specialized epithelial cells producing mucins on the ocular surface. GCs play important roles in maintaining homeostasis of the ocular surface, and GC dysfunction is associated with various complications including dry eye diseases. Current GC examination methods, which are conjunctival impression cytology and confocal reflection microscopy, have limitations for routine examination. Fluorescence microscopy using moxifloxacin was recently introduced as a non-invasive and high-contrast imaging method, but further development is needed to be used for GC examination. Here we developed a non-invasive high-speed high-contrast GC imaging method, called moxifloxacin based axially swept wide-field fluorescence microscopy (MBAS-WFFM). This method acquired multiple fluorescence images with the axial sweeping of the focal plane to capture moxifloxacin labeled GCs on the tilted conjunctival surface in focus and generated all-in-focus images by combining the acquired images. The imaging field of view and imaging speed were increased to 1.6 mm x 1.6 mm and 30 fps. An image processing method was developed for the analysis of GC density. MBAS-WFFM was applied to alkali burn mouse models and detected GC damage and recovery via longitudinal imaging. MBAS-WFFM could assess the status of GCs rapidly and non-invasively. We anticipate MBAS-WFFM to be a starting point for non-invasive GC examination and the diagnosis of GC associated diseases. For example, MBAS-WFFM could be used to classify dry eye diseases into detail categories for effective treatment. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

关键词： Fluorescence microscopy High speed imaging image processing image processing algorithms Imaging techniques Three dimensional imaging

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Quantitative multi-contrast in vivo mouse imaging with polarization diversity optical coherence tomography and angiography

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BIOMEDICAL OPTICS EXPRESS 2020年第12期11卷 6945-6961页

作者： Hsu, Destiny Kwon, Ji Hoon Ng, Ringo Makita, Shuichi Yasuno, Yoshiaki Sarunic, Marinko V. Ju, Myeong Jin Simon Fraser Univ Biomed Opt Res Grp Dept Engn Sci Burnaby BC Canada Univ Tsukuba Computat Opt Grp Inst Appl Phys Tsukuba Ibaraki Japan Univ British Columbia Dept Ophthalmol & Visual Sci Vancouver BC Canada Univ British Columbia Sch Biomed Engn Vancouver BC Canada

Retinal microvasculature and the retinal pigment epithelium (RPE) play vital roles in maintaining the health and metabolic activity of the eye. Visualization of these retina structures is essential for pre-clinical studies of vision-robbing diseases, such as age-related macular degeneration (AMD). We have developed a quantitative multi-contrast polarization diversity OCT and angiography (QMC-PD-OCTA) system for imaging and visualizing pigment in the RPE using degree of polarization uniformity (DOPU), along with flow in the retinal capillaries using OCT angiography (OCTA). An adaptive DOPU averaging kernel was developed to increase quantifiable values from visual data, and QMC en face images permit simultaneous visualization of vessel location, depth, melanin region thickness, and mean DOPU values, allowing rapid identification and differentiation of disease symptoms. The retina of five different mice strains were measured in vivo, with results demonstrating potential for pre-clinical studies of retinal disorders. (c) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

关键词： image processing image processing algorithms image quality In vivo imaging Retinal nerve fiber layer Small animal imaging

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