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image processing for combined bright-field and reflection interference contrast video microscopy

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 1997年第2期53卷 113-118页

作者： Weber, I Albrecht, R Max-Planck-Institut für Biochemie Am Klopferspitz 18a D-82 152 Martinsried Germany

image processing algorithms for automatic extraction of cell body contours and cell-substratum contacts from video images, which were obtained-by bright-field microscopy and reflection interference contrast microscopy, respectively, are described. Double-view imaging, which combines these two optical techniques, is used to investigate the relationship between cell-to-substratum adhesion and cell shape changes during locomotion of the amoeboid cells of Dictyostelium discoideum. Contact areas of cells are extracted from reflection interference contrast images via a routine which performs binarisation on the basis of threshold estimation, as it is calculated by a histogram minimum method. Boundaries of cells are extracted from bright-field images by utilising an algorithm that includes background subtraction and binarisation based on texture discrimination by means of a rank operator. (C) 1997 Elsevier Science Ireland Ltd.

关键词： video microscopy image processing algorithms feature extraction Dictyostelium discoideum

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Quantum image processing algorithm using edge extraction based on Kirsch operator

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OPTICS EXPRESS 2020年第9期28卷 12508-12517页

作者： Xu, Pengao He, Zhenxing Qiu, Tianhui Hongyang, Ma Qingdao Univ Technol Sch Informat & Control Engn Qingdao 266033 Peoples R China Qingdao Univ Technol Sch Sci Res Ctr Quantum Opt & Quantum Commun Qingdao 266033 Peoples R China

In this work, a quantum image processing algorithm is developed using the edge extraction method together with the Kirsch operator. In our approach, novel enhanced quantum representation (NEQR) is employed as the image representation model for processing quantum image, which generates results of edge extraction using the Kirsch operator. The proposed algorithm can perform real-time image processing with high accuracy. We carry out the design, analyses, and simulations of quantum circuits based on our approach, which shows that the image processing speed and acuracy are much better than the classical edge extraction algorithms. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

关键词： Digital image processing Edge detection image processing image processing algorithms image quality image resolution

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image processing guided analysis for estimation of bacteria colonies number by means of optical transforms

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OPTICS EXPRESS 2010年第12期18卷 12992-13005页

作者： Buzalewicz, Igor Wysocka-Krol, Katarzyna Podbielska, Halina Wroclaw Univ Technol Inst Biomed Engn & Instrumentat Bioopt Grp PL-50370 Wroclaw Poland

A novel method for evaluation of bacterial colonies number (Colony Forming Units - CFU), is described. Proposed algorithm, based on the Mellin transform, allows the CFU evaluation, invariant for the spatial orientation and scale changes. The proposed method involves image recording of bacteria grown in Petri dishes, calculation of the Fourier spectrum followed by coordinates transformation, and determination of the Mellin transform. It was proved that there is a high correlation between CFU and maxima of Mellin spectra. The method was practically implemented for evaluation of antibacterial activity of silver-based nanomaterials and the effect of an additional laser light irradiation. (C) 2010 Optical Society of America

关键词： Discrete Fourier transforms Far field diffraction Fourier transforms image processing image processing algorithms Phase modulation

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Sensor noise informed representation of hyperspectral data, with benefits for image storage and processing

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OPTICS EXPRESS 2011年第14期19卷 13031-13046页

作者： Skauli, Torbjorn Norwegian Def Res Estab FFI N-2027 Kjeller Norway

Many types of hyperspectral image processing can benefit from knowledge of noise levels in the data, which can be derived from sensor physics. Surprisingly, such information is rarely provided or exploited. Usually, the image data are represented as radiance values, but this representation can lead to suboptimal results, for example in spectral difference metrics. Also, radiance data do not provide an appropriate baseline for calculation of image compression ratios. This paper defines two alternative representations of hyperspectral image data, aiming to make sensor noise accessible to image processing. A "corrected raw data" representation is proportional to the photoelectron count and can be processed like radiance data, while also offering simpler estimation of noise and somewhat more compact storage. A variance-stabilized representation is obtained by square-root transformation of the photodetector signal to make the noise signal-independent and constant across all bands while also reducing data volume by almost a factor 2. Then the data size is comparable to the fundamental information capacity of the sensor, giving a more appropriate measure of uncompressed data size. It is noted that the variance-stabilized representation has parallels in other fields of imaging. The alternative data representations provide an opportunity to reformulate hyperspectral processing algorithms to take actual sensor noise into account. (C) 2011 Optical Society of America

关键词： Cathode ray tubes Hyperspectral image processing Hyperspectral imaging image compression image processing image processing algorithms

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Keyhole morphology monitoring of laser based on image processing and principal component analysis

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APPLIED OPTICS 2022年第6期61卷 1492-1499页

作者： Lei, Ting Gu, Shiyang Yu, Huiwen Wuhan Univ Technol Sch Mech & Elect Engn Wuhan 430070 Peoples R China State Key Lab Digital Mfg Equipment & Technol Wuhan 430074 Peoples R China

The keyhole is a specific phenomenon produced by the intense interaction between laser and material. Keyhole morphology can reflect welding stability and welding quality to a certain extent. Nowadays, the keyhole is observed and image processed by a high-speed camera and related algorithms, respectively. However, the binarization threshold is fixed in keyhole extraction, and conventional binarization methods are not adaptive. This will affect the feature extraction of keyhole morphology. In this paper, a dynamic threshold adjustment method is proposed, which can combine the quick positioning of the Otsu method and the weight balance of the average method. Furthermore, seven defined features of the keyhole region are divided into dynamic parameters and shape parameters. The dimension of these parameters is reduced by principal component analysis (PCA). The first three PCs occupy more than 92%, which covers most of the keyhole information. At last, the influence of dynamic parameters and shape parameters on keyhole morphology is presented. This research plays a positive role in monitoring the keyhole morphology of laser welding. (C) 2022 Optica Publishing Group

关键词： Feature extraction High speed photography image processing image processing algorithms Laser materials Laser welding

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PARALLEL OPTICAL-image processing WITH image-LOGIC ALGEBRA AND A POLYNOMIAL APPROACH

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APPLIED OPTICS 1994年第26期33卷 6142-6145页

作者： BHATTACHARYA, P []The author is with the Department of Computer Science andEngineering University of Nebraska at Lincoln Lincoln Nebraska 68588.

An interesting relationship between an optical parallel-processing single-instruction-multiple-data generic language, called image-logic algebra, and a polynomial approach for processing binary images by electronic computers is shown. Using only two basic operations of the ILA, one can reformulate a number of algorithms developed earlier in the polynomial approach into algorithms in the ILA environment. Thus a large number of new algorithms for parallel optical processing of binary images can be developed in the ILA environment that are fast and efficient.

关键词： Fast Fourier transforms image processing image processing algorithms Optical processing devices Parallel processing Three dimensional image processing

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Characterization of particle shape of nickel-based superalloy powders using image processing techniques

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POWDER TECHNOLOGY 2022年 395卷 787-801页

作者： Zhang, Li-Chong Xu, Wen-Yong Li, Zhou Zheng, Liang Liu, Yu-Feng Zhang, Guo-Qing AECC Beijing Inst Aeronaut Mat Sci & Technol Adv High Temp Struct Mat Lab Beijing 100095 Peoples R China

In order to achieve quality control of nickel-based superalloy powders, it is necessary to quantitatively characterize the particle shape. This paper introduces how the image processing techniques were used to quantitatively evaluate the particle shape and its distribution. Firstly, the appropriate edge extraction operator was determined by multiple comparisons of processing effect of six edge extraction operators. It was found that the morphological processing technology, being similar to the watershed algorithm, demonstrated strong applicability for edge extraction. Secondly, eight shape descriptors were calculated and verified by standard graphics to ensure the accuracy of image processing algorithms. By monitoring single particle, it was found that the image processing algorithms can accurately distinguish the spherical particle from the satellite particle, and the shape descriptors change in an obvious manner. Finally, the probability density distributions of eight shape descriptors were demonstrated and compared. The results show that the image processing techniques can effectively characterize the particle shape and its distribution, which provides a methodological basis for the characterization of superalloy powders and theoretical guidance for the adjustment of atomization process. By mathematically fitting, a relationship was found between the mean shape descriptors and the angle of repose (AOR). Therefore, the method can be used to obtain the average value of shape descriptors, and then establish the relationship between the average shape descriptors and powder flowability, which can predict the process performance of powder and the performance during 3D printing. (c) 2021 Elsevier B.V. All rights reserved.

关键词： Nickel-based superalloy powders Edge extraction image processing algorithms Quantitative characterization Shape descriptors Angle of repose

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Automated image processing pipeline for adaptive optics scanning light ophthalmoscopy

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BIOMEDICAL OPTICS EXPRESS 2021年第6期12卷 3142-3168页

作者： Salmon, Alexander E. Cooper, Robert F. Chen, Min Higgins, Brian Cava, Jenna A. Chen, Nickolas Follett, Hannah M. Gaffney, Mina Heitkotter, Heather Heffernan, Elizabeth Schmidt, Taly Gilat Carroll, Joseph Med Coll Wisconsin Cell Biol Neurobiol & Anat Milwaukee WI 53226 USA Translat Imaging Innovat Inc Hickory NC 28601 USA Marquette Univ Biomed Engn Milwaukee WI 53233 USA Med Coll Wisconsin Milwaukee WI 53233 USA Med Coll Wisconsin Ophthalmol & Visual Sci 8701 W Watertown Plank Rd Milwaukee WI 53226 USA Univ Penn Radiol Philadelphia PA 19104 USA

To mitigate the substantial post-processing burden associated with adaptive optics scanning light ophthalmoscopy (AOSLO), we have developed an open-source, automated AOSLO image processing pipeline with both "live" and "full" modes. The live mode provides feedback during acquisition, while the full mode is intended to automatically integrate the copious disparate modules currently used in generating analyzable montages. The mean (+/- SD) lag between initiation and montage placement for the live pipeline was 54.6 +/- 32.7s. The full pipeline reduced overall human operator time by 54.9 +/- 28.4%, with no significant difference in resultant cone density metrics. The reduced overhead decreases both the technical burden and operating cost of AOSLO imaging, increasing overall clinical accessibility. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

关键词： image analysis image metrics image processing image processing algorithms image quality Retinal nerve fiber layer

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Qualitative and quantitative interpretation of SEM image using digital image processing

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JOURNAL OF MICROSCOPY 2016年第1期264卷 102-124页

作者： Saladra, Dawid Kopernik, Magdalena AGH Univ Sci & Technol Al Mickiewicza 30 PL-30059 Krakow Poland

The aim of the this study is improvement of qualitative and quantitative analysis of scanning electron microscope micrographs by development of computer program, which enables automatic crack analysis of scanning electron microscopy (SEM) micrographs. Micromechanical tests of pneumatic ventricular assist devices result in a large number of micrographs. Therefore, the analysis must be automatic. Tests for athrombogenic titanium nitride/gold coatings deposited on polymeric substrates (Bionate II) are performed. These tests include microshear, microtension and fatigue analysis. Anisotropic surface defects observed in the SEM micrographs require support for qualitative and quantitative interpretation. Improvement of qualitative analysis of scanning electron microscope images was achieved by a set of computational tools that includes binarization, simplified expanding, expanding, simple image statistic thresholding, the filters Laplacian 1, and Laplacian 2, Otsu and reverse binarization. Several modifications of the known image processing techniques and combinations of the selected image processing techniques were applied. The introduced quantitative analysis of digital scanning electron microscope images enables computation of stereological parameters such as area, crack angle, crack length, and total crack length per unit area. This study also compares the functionality of the developed computer program of digital image processing with existing applications. The described pre- and postprocessing may be helpful in scanning electron microscopy and transmission electron microscopy surface investigations.

关键词： Coatings digital image image processing algorithms micromechanical test scanning electron microscopy

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image processing for safety assessment in civil engineering

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APPLIED OPTICS 2013年第18期52卷 4385-4390页

作者： Ferrer, Belen Pomares, Juan C. Irles, Ramon Espinosa, Julian Mas, David Univ Alicante Dept Civil Engn E-03080 Alicante Spain Univ Alicante Univ Inst Phys Appl Sci & Technol E-03080 Alicante Spain

Behavior analysis of construction safety systems is of fundamental importance to avoid accidental injuries. Traditionally, measurements of dynamic actions in civil engineering have been done through accelerometers, but high-speed cameras and image processing techniques can play an important role in this area. Here, we propose using morphological image filtering and Hough transform on high-speed video sequence as tools for dynamic measurements on that field. The presented method is applied to obtain the trajectory and acceleration of a cylindrical ballast falling from a building and trapped by a thread net. Results show that safety recommendations given in construction codes can be potentially dangerous for workers. (C) 2013 Optical Society of America

关键词： Accelerometers High speed photography image processing image processing algorithms Nonlinear spatial filtering Video

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