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Acquiring 3-D information about thick objects from differential interference contrast images using texture extraction

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JOURNAL OF BIOMEDICAL OPTICS 2010年第4期15卷 046021-046021页

作者： Sierra, Heidy Brooks, Dana DiMarzio, Charles Northeastern Univ Dept Elect & Comp Engn Boston MA 02115 USA

The extraction of 3-D morphological information about thick objects is explored in this work. We extract this information from 3-D differential interference contrast (DIC) images by applying a texture detection method. Texture extraction methods have been successfully used in different applications to study biological samples. A 3-D texture image is obtained by applying a local entropy-based texture extraction method. The use of this method to detect regions of blastocyst mouse embryos that are used in assisted reproduction techniques such as in vitro fertilization is presented as an example. Results demonstrate the potential of using texture detection methods to improve morphological analysis of thick samples, which is relevant to many biomedical and biological studies. Fluorescence and optical quadrature microscope phase images are used for validation. (C) 2010 Society of Photo-Optical Instrumentation Engineers. [DOI: 10.1117/1.3475961]

关键词： differential interface contrast images thick transparent sample reconstruction phase microscopy image processing algorithms embryo development studies

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A compact photonic resonator absorption microscope for point of care digital resolution nucleic acid molecular diagnostics (vol 12, pg 4637, 2021)

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BIOMEDICAL OPTICS EXPRESS 2021年第8期12卷 5159-5159页

作者： Ghosh, Shreya LI, Nantao Xiong, Yanyu Ju, Young-gu Rathslag, Michael P. Onal, Ege G. Falkiewicz, Erika Kohli, Manish Cunningham, Brian T. Univ Illinois Holonyak Micro & Nanotechnol Lab Urbana IL 61801 USA Univ Illinois Dept Elect & Comp Engn Urbana IL 61801 USA Kyungpook Natl Univ Dept Phys Educ 80 Daehak Ro Daegu South Korea Univ Illinois Dept Bioengn Urbana IL 61801 USA Univ Illinois Sch Integrat Biol Urbana IL 61801 USA Univ Utah Huntsman Canc Inst Salt Lake City UT 84112 USA Univ Illinois Carl R Woese Inst Genom Biol Urbana IL 61801 USA Univ Illinois Canc Ctr Illinois Urbana IL 61809 USA

This publisher’s notes amends the funding of [Biomed. Opt. Express 12 , 4637 (2021 )10.1364/BOE.427475 ].

关键词： High numerical aperture optics image processing algorithms Molecular diagnostics Polarized light Red light emitting diodes Surface plasmons

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image formation analysis and high resolution image reconstruction for plenoptic imaging systems

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APPLIED OPTICS 2013年第10期52卷 D22-D31页

作者： Shroff, Sapna A. Berkner, Kathrin Ricoh Innovat Inc Computat Opt Sensing & Visual Proc Res Menlo Pk CA 94025 USA

Plenoptic imaging systems are often used for applications like refocusing, multimodal imaging, and multiview imaging. However, their resolution is limited to the number of lenslets. In this paper we investigate paraxial, incoherent, plenoptic image formation, and develop a method to recover some of the resolution for the case of a two-dimensional (2D) in-focus object. This enables the recovery of a conventional-resolution, 2D image from the data captured in a plenoptic system. We show simulation results for a plenoptic system with a known response and Gaussian sensor noise. (C) 2013 Optical Society of America

关键词： image formation theory image processing image processing algorithms Imaging systems Multimodal imaging Multispectral imaging

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AIKYATAN: mapping distal regulatory elements using convolutional learning on GPU

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BMC BIOINFORMATICS 2019年第1期20卷 488-488页

作者： Fang, Chih-Hao Theera-Ampornpunt, Nawanol Roth, Michael A. Grama, Ananth Chaterji, Somali Purdue Univ Dept Ag & Biol Engn W Lafayette IN 47907 USA Prince Songkla Univ Coll Comp Bangkok Thailand Google Inc Mountain View CA USA

Background: The epigenomics data deluge can leverage sophisticated ML techniques for functionally annotating the regulatory non-coding genome. The challenge lies in selecting the appropriate classifier for the specific functional annotation problem, within the bounds of the hardware constraints and the model's complexity. In our system Aikyatan, we annotate distal epigenomic regulatory sites, e.g., enhancers. Specifically, we develop a binary classifier that classifies genome sequences as distal regulatory regions or not, given their histone modifications' combinatorial signatures. This problem is challenging because the regulatory regions are distal to the genes, with diverse signatures across classes (e.g., enhancers and insulators) and even within each class (e.g., different enhancer sub-classes). Results We develop a suite of ML models, under the banner Aikyatan, including SVM models, random forest variants, and deep learning architectures, for distal regulatory element (DRE) detection. We demonstrate, with strong empirical evidence, deep learning approaches have a computational advantage. Plus, convolutional neural networks (CNN) provide the best-in-class accuracy, superior to the vanilla variant. With the human embryonic cell line H1, CNN achieves an accuracy of 97.9% and an order of magnitude lower runtime than the kernel SVM. Running on a GPU, the training time is sped up 21x and 30x (over CPU) for DNN and CNN, respectively. Finally, our CNN model enjoys superior prediction performance vis-'a-vis the competition. Specifically, Aikyatan-CNN achieved 40% higher validation rate versus CSIANN and the same accuracy as RFECS. Conclusions Our exhaustive experiments using an array of ML tools validate the need for a model that is not only expressive but can scale with increasing data volumes and diversity. In addition, a subset of these datasets have image-like properties and benefit from spatial pooling of features. Our Aikyatan suite leverages diverse epigenomic d

关键词： Support vector machines (SVM) Random forest (RF) Deep neural networks (DNN) ConvNets (CNN) image processing algorithms Distal regulatory elements Enhancers Silencers Epigenomics ROC curves Graphics processing units (GPU) Hyperparameter tuning NIH roadmap epigenomics

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Digital x-ray medical image enhancement method based on human visual characteristics

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JOURNAL OF ELECTRONIC IMAGING 2022年第6期31卷 062006-062006页

作者： Xu, Wei Zhai, Yujin Henan Polytech Coll Modern Informat Technol Zhengzhou Peoples R China

Digital x-ray medical image with human visual characteristics is a kind of medical image formed by x-ray irradiation. Currently, medical image processing algorithm is the main hot topic. With the popularization of medical images in clinical diagnosis and the development of computer technology, the accuracy of clinical diagnosis can be greatly improved using medical image processing technology. For digital x-ray imaging in medical system, it is inevitable that the quality of medical image will be degraded by various factors, so it needs to be processed before they can be used. At the same time, with the development of medical digital x-ray detector technology, the range of medical images used will be much smaller than that of detectors. The medical digital x-ray image data received after detection also need to be processed by an effective image-processing algorithm before display. On the other hand, the research, analysis, and diagnostic use of computer in medical images can appropriately reduce the work intensity of doctors or medical staff, and also play an important role in the discovery of certain diseases. A method of digital x-ray medical image enhancement based on human visual characteristics is studied by analyzing the characteristics of histogram of x-ray image and the maximum entropy fuzzy threshold image enhancement algorithm. The experimental results show that the method can fully recognize the medical x-ray images with incorrect exposure, enhancing the effect of digital x-ray imaging and improving the recognition rate. (c) 2022 SPIE and IS&T

关键词： visual characteristics image processing algorithms digital x-ray imaging medical digital image

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Eddy current pulsed thermography for ballistic impact evaluation in basalt-carbon hybrid composite panels

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APPLIED OPTICS 2018年第18期57卷 D74-D81页

作者： Zhang, Hai Sfarra, Stefano Osman, Ahmad Sarasini, Fabrizio Netzelmann, Udo Perilli, Stefano Ibarra-Castanedo, Clemente Maldague, Xavier P. V. Univ Laval Comp Vis & Syst Lab Dept Elect & Comp Engn Quebec City PQ G1V 0A6 Canada Fraunhofer Inst Nondestruct Testing IZFP Dept Inspect Components & Assemblies D-66123 Saarbrucken Germany Univ Aquila Dept Ind & Informat Engn & Econ I-67100 Laquila Italy Tomsk Polytech Univ Thermal Control Methods Lab Tomsk 634050 Russia Univ Appl Sci Saarland Htw Saar D-66117 Saarbrucken Germany Sapienza Univ Rome Dept Chem Engn Mat Environm I-00184 Rome Italy Univ Toronto Dept Mech & Ind Engn Ctr Adv Diffus Wave Technol CADIFT 5 Kings Coll Rd Toronto ON M5S 3G8 Canada

In this paper, eddy current pulsed thermography was used to evaluate ballistic impact damages in basalt-carbon hybrid fiber-reinforced polymer composite laminates for the first time, to our knowledge. In particular, different hybrid structures including intercalated stacking and sandwich-like sequences were used. Pulsed phase thermography, wavelet transform, principle component thermography, and partial least-squares thermography were used to process the thermographic data. Ultrasound C-scan testing and X-ray computed tomography were also performed for comparative purposes. Finite element analysis was used for validation. Finally, an analytical and comparative study was conducted based on signal-to-noise ratio analysis. (C) 2018 Optical Society of America

关键词： image processing image processing algorithms Spatial resolution Thermal imaging Wavelet transforms X ray computed tomography

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Stent optical inspection system calibration and performance

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APPLIED OPTICS 2017年第9期56卷 D134-D141页

作者： Bermudez, Carlos Laguarta, Ferran Cadevall, Cristina Matilla, Aitor Ibanez, Sergi Artigas, Roger Tech Univ Catalonia UPC Ctr Sensors Instruments & Syst Dev CD6 Rambla St Nebridi 10 E-08222 Terrassa Spain Sensofar Tech SL Parc Audiovisual CatalunyaCtra BV1274 Km 1 E-08225 Terrassa Spain Sensofar Med SL Parc Audiovisual CatalunyaCtra BV1274 Km 1 E-08225 Terrassa Spain

Implantable medical devices, such as stents, have to be inspected 100% so no defective ones are implanted into a human body. In this paper, a novel optical stent inspection system is presented. By the combination of a high numerical aperture microscope, a triple illumination system, a rotational stage, and a CMOS camera, unrolled sections of the outer and inner surfaces of the stent are obtained with high resolution at high speed with a linescan approach. In this paper, a comparison between the conventional microscope image formation and this new approach is shown. A calibration process and the investigation of the error sources that lead to inaccuracies of the critical dimension measurements are presented. (C) 2017 Optical Society of America.

关键词： CMOS cameras High numerical aperture optics image processing algorithms image quality Line scan cameras Optical microscopy

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Iconics at the turn of the century. Status and prospects

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JOURNAL OF OPTICAL TECHNOLOGY 1999年第6期66卷 465-482页

作者： Filimonov, RP SI Vavilov State Opt Inst St Petersburg Russia

This paper provides a short summary of thirty years of development of a new scientific specialization in optics-iconics-and discusses the main results of recent iconic research. The special role of the methodological apparatus developed at the State Optical Institute, orienting iconic research to the study of the general properties of images, is pointed out from the viewpoint of the circulation of information and the specifics of visual perception. Attention is directed to possible promising avenues in iconic research, based on the optical principles of information processing, the use of robust methods, wavelet analysis, the methods of artificial neural networks, and pattern recognition. (C) 1999 The Optical Society of America. [S1070-9762(99)00206-7].

关键词： image analysis image processing image processing algorithms Vision modeling Visual perception Visual system

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Digital camera simulation

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APPLIED OPTICS 2012年第4期51卷 A80-A90页

作者： Farrell, Joyce E. Catrysse, Peter B. Wandell, Brian A. Stanford Univ Dept Elect Engn Stanford CA 94305 USA Stanford Univ Edward L Ginzton Lab Stanford CA 94305 USA Stanford Univ Dept Psychol Stanford CA 94305 USA

We describe a simulation of the complete image processing pipeline of a digital camera, beginning with a radiometric description of the scene captured by the camera and ending with a radiometric description of the image rendered on a display. We show that there is a good correspondence between measured and simulated sensor performance. Through the use of simulation, we can quantify the effects of individual digital camera components on system performance and image quality. This computational approach can be helpful for both camera design and image quality assessment. (C) 2012 Optical Society of America

关键词： Digital image processing image processing image processing algorithms image quality image quality assessment Sensor performance

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Improving the performance of interferometric imaging through the use of disturbance feedforward

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JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS image SCIENCE AND VISION 2017年第5期34卷 A10-A21页

作者： Boehm, Michael Glueck, Martin Keck, Alexander Pott, Jorrg-Uwe Sawodny, Oliver Max Planck Inst Astron Konigstuhl 17 D-69117 Heidelberg Germany Univ Stuttgart Inst Syst Dynam Waldburgstr 17-19 D-70563 Stuttgart Germany

In this paper, we present a disturbance compensation technique to improve the performance of interferometric imaging for extremely large ground-based telescopes, e.g., the Large Binocular Telescope (LBT), which serves as the application example in this contribution. The most significant disturbance sources at ground-based telescopes are wind-induced mechanical vibrations in the range of 8-60 Hz. Traditionally, their optical effect is eliminated by feedback systems, such as the adaptive optics control loop combined with a fringe tracking system within the interferometric instrument. In this paper, accelerometers are used to measure the vibrations. These measurements are used to estimate the motion of the mirrors, i.e., tip, tilt and piston, with a dynamic estimator. Additional delay compensation methods are presented to cancel sensor network delays and actuator input delays, improving the estimation result even more, particularly at higher frequencies. Because various instruments benefit from the implementation of telescope vibration mitigation, the estimator is implemented as a separate, independent software on the telescope, publishing the estimated values via multicast on the telescope's ethernet. Every client capable of using and correcting the estimated disturbances can subscribe and use these values in a feedforward for its compensation device, e.g., the deformable mirror, the piston mirror of LINC-NIRVANA, or the fast path length corrector of the Large Binocular Telescope Interferometer. This easy-to-use approach eventually leveraged the presented technology for interferometric use at the LBT and now significantly improves the sky coverage, performance, and operational robustness of interferometric imaging on a regular basis. (C) 2017 Optical Society of America

关键词： image processing algorithms image quality Large telescopes Nulling interferometry Phase shift Stellar interferometry

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