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Evaluation of parallelization of an image processing algorithm for an embedded multicore platform using manual parallelization and the OpenMP parallel framework

Evaluation of parallelization of an image processing algorit...

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39th Annual Conference of the IEEE Industrial-Electronics-Society (IECON)

作者： Prokesch, Richard Austrian Inst Technol GmbH Safety & Secur Dept High Performance Image Proc Vienna Austria

ISBN: (纸本)9781479902248

In this paper manual parallelization is compared with parallelization using the Open Multi-processing (OpenMP) software framework on an embedded eight core Digital Signal Processor (DSP) developed by Texas Instruments. In order to compare these two methods an in-house developed 2D image registration algorithm is parallelized. Furthermore considerations regarding the parallelization on this DSP are presented. Finally both parallelization methods in respect of performance and real time behavior are measured and analyzed.

关键词： digital signal processor embedded system image processing algorithm manual parallelization OpenMP performance comparison

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Quality Enhancement of the SEM images 23

Quality Enhancement of the SEM Images

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23rd IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)

作者： Toadere, Florin Tosa, Nicoleta Porav, Alin Sebastian Natl Inst Res & Dev Isotop & Mol Technol Cluj Napoca Romania

ISBN: (纸本)9781665479332

The aim of this work is to increase the quality of scanning electron microscopy (SEM) images recorded on chitosan-based films doped with gold particles of different shapes at nano- and micrometric sizes as SERS substrates for sensors. The SEM images depicting the material surface are not linearly illuminated because the contained gold particles show differences in height and distribution within the film, some of their edges being not clearly delimited. Therefore, a four-steps image quality enhancing algorithm to increase the visibility of details in SEM images is built. The proposed algorithm contains the following imaging filters: shock filter, image sharpening, homomorphic filter, contrast stretch. The advantages of using this algorithm are emphasized by a set of illustrative images consisting of the original SEM images and enhanced quality SEM images as well.

关键词： SEM images gold particles SERS substrate image processing algorithm filters sharpening enhanced quality

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Polymer Waveguide-Based Crossing Waveguides and Adiabatic-Tapered Directional Couplers for Fiber Compatible Optical Interconnect

IEEE PHOTONICS JOURNAL

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IEEE PHOTONICS JOURNAL 2025年第3期17卷

作者： Liu, Xiaofeng Huang, Quandong Xiao, Bin Huang, Quankeng Ran, Jiaqi Qiu, Zhanxiong Liang, Shijie Chen, Qingming Jiang, Wenchao Zheng, Zhaoqiang Dong, Xinyong Ertman, Slawomir Qin, Yuwen Minist Educ China Inst Adv Photon Technol Sch Informat Engn Key Lab Photon Technol Integrated Sensing & Commun Beijing 100083 Peoples R China Guangdong Univ Technol Guangdong Prov Key Lab Informat Photon Technol Guangzhou 510006 Peoples R China Guangdong Univ Technol Sch Comp Sci & Technol Guangzhou 510006 Peoples R China Guangdong Univ Technol Sch Mat & Energy Guangzhou 510006 Peoples R China Sun Yat Sen Univ Sch Microelect Sci & Technol Zhuhai 510275 Peoples R China Warsaw Univ Technol Fac Phys Dept Opt & Photon PL-00661 Warsaw Poland

Photonic integrated circuits have intrinsic merits of high integration, large bandwidth, and flexible design, which play an important role in optical communication systems for the interconnect. To increase the integration and routing of photonic circuits for manipulating the guide modes, we propose a simple and effective fiber compatible crossing waveguide to optimize the device layouts. To demonstrate the idea, we fabricated the device through optical lithography, and then optimized the processing parameters based on the analysis of image processing after fabrication, where the fabricated device shows an insertion loss lower than a maximum 1.0 dB with the crossing waveguides perpendicular to each other and operation wavelength from 1450 nm to 1630 nm for the operation of the E-21 and E-11 modes. The device offers the ability to manipulate guide modes without being affected by the waveguide crossing, which can provide a powerful way to form fiber compatible integrated photonic circuits.

关键词： Optical waveguides Insertion loss Propagation losses Photonics Optical fiber devices Planar waveguides Photonic integrated circuits Polymers Optical interconnections Optical fiber couplers Crossing waveguides adiabatic tapered DCs image processing algorithm photonic integrated circuits

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Chemometric challenges in development of paper-based analytical devices: Optimization and image processing

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ANALYTICA CHIMICA ACTA 2020年第0期1101卷 1-8页

作者： Hamedpour, Vahid Oliveri, Paolo Leardi, Riccardo Citterio, Daniel Univ Tokyo Inst Ind Sci Meguro Ku 4-6-1 Komaba Tokyo 1538505 Japan Univ Genoa Dept Pharm Viale Cembrano 4 I-16148 Genoa Italy Keio Univ Fac Sci & Technol Dept Appl Chem Kohoku Ku 3-14-1 Hiyoshi Yokohama Kanagawa 2238522 Japan

Although microfluidic paper-based analytical devices (mu PADs) get a lot of attention in the scientific literature, they rarely reach the level of commercialization. One possible reason for this is a lack of application of machine learning techniques supporting the design, optimization and fabrication of such devices. This work demonstrates the potential of two chemometric techniques including design of experiments (DoE) and digital image processing to support the production of mu PADs. On the example of a simple colorimetric assay for isoniazid relying on the protonation equilibrium of methyl orange, the experimental conditions were optimized using a D-optimal design (DO) and the impact of multiple factors on the mu PAD response was investigated. In addition, this work demonstrates the impact of automatic image processing on accelerating color value analysis and on minimizing errors caused by manual detection area selection. The employed algorithm is based on morphological recognition and allows the analysis of RGB (red, green, and blue) values in a repeatable way. In our belief, DoE and digital image processing methodologies are keys to overcome some of the remaining weaknesses in mu PAD development to facilitate their future market entry. (C) 2019 Elsevier B.V. All rights reserved.

关键词： Microfluidic paper-based analytical devices (mu PADs) Design of experiments Optimization D-optimal design image processing algorithm Mathematical morphology recognition (MMR)

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Assessment of black rot development on apple surface using laser biospeckle technique

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PHYSICA SCRIPTA 2023年第3期98卷 035501-035501页

作者： Koley, Chhanda Das, Rittik Nirala, Anil Kumar Indian Inst Technol Indian Sch Mines Dhanbad Dept Phys Biomed Opt Lab Dhanbad Jharkhand India

In our present study, the laser biospeckle technique has been applied to monitor the spread of black rot fungal disease and evaluate the infected area on apple surface for the first time to the best of our knowledge. image processing algorithms such as inertia moment (IM), absolute value of differences (AVD) and spatial-temporal speckle correlation show the reduction of biospeckle activity of the black rot infected apples in comparison to that of the healthy apples with increase in time, once the visible symptom of the disease sets in. Spectral activity maps obtained using Fujii, inverse Fujii and parameterized Fujii show the spread of this infection with the progression of day. Under exposition test and histogram plot have been used to evaluate the increase of darkness of the infected apple with the progression of day and the results have come out as a replica of the change of colour of the region of interest. % biospeckle activity loss on the final day of the experiment has been found to be 17.83% and 11.91% for healthy apples & 92.42% and 78.63% for infected apples using IM and AVD respectively. An increase in the infected area and % increase in infected area of the region of interest on the image plane has been determined to be 0.33 mm(2) and 58.57% respectively on the final day of the experiment.

关键词： biospeckle image processing algorithm black rot disease apple

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Assessment of milk fermentation process at three temperatures using laser speckle technique

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LASER PHYSICS 2022年第4期32卷 045602-045602页

作者： Koley, Chhanda Nirala, Anil Kumar Indian Inst Technol Indian Sch Mines Dhanbad Dept Phys Biomed Opt Lab Dhanbad Jharkhand India

This research work contains information on speckle activity at different stages of the milk fermentation process at temperatures of 24 degrees C, 32 degrees C and 40 degrees C, using the dynamic laser speckle technique for the first time, to the best of our knowledge. image processing algorithms such as inertia moment (IM), the absolute value of differences, the probability mass function of regular difference, spatial-temporal speckle correlation and 3D graphs of spectral images have been applied to show the speckle activity of the samples. All the methods show that the speckle activity of the sample is higher at the semisolid stage than at the liquid stage of the sample. Also, higher speckle activity of the curd has been observed at 40 degrees C (11 576.18 using IM) than at 32 degrees C (8550.92 using IM), followed by that at 24 degrees C (4855.88 using IM). At 40 degrees C, the thermal motion of curd particles is higher than that of the curd particles at the other two temperatures, and are responsible for the higher speckle activity. The preparation time for curd at 40 degrees C (5 h) is lower in comparison to the curds at 24 degrees C (10 h) and 32 degrees C (6 h). The lowest value for the titratable acidity of the curd prepared at 24 degrees C shows a lower % lactic acid than the curd at 32 degrees C and that at 40 degrees C. The lowest value of susceptibility to syneresis of the curd at 40 degrees C (30.00) represents a more compact curd than the curds at 32 degrees C (37.50) and 24 degrees C (45.00). The horizontal speckle grain size of the curd has been calculated using an autocovariance function;the highest is for curd fermented at 40 degrees C (12.34 mu m), followed by that at 32 degrees C (11.59 mu m), then that at 24 degrees C (10.96 mu m).

关键词： laser speckle image processing algorithm milk fermentation curd

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A Two-Stage Approach to Important Area Detection in Gathering Place Using a Novel Multi-Input Attention Network

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SENSORS 2022年第1期22卷 285-285页

作者： Xu, Jianqiang Zhao, Haoyu Min, Weidong Nanchang Univ Sch Informat Engn Nanchang 330031 Jiangxi Peoples R China Nanchang Univ Sch Software Nanchang 330047 Jiangxi Peoples R China Jiangxi Key Lab Smart City Nanchang 330047 Jiangxi Peoples R China

An important area in a gathering place is a region attracting the constant attention of people and has evident visual features, such as a flexible stage or an open-air show. Finding such areas can help security supervisors locate the abnormal regions automatically. The existing related methods lack an efficient means to find important area candidates from a scene and have failed to judge whether or not a candidate attracts people's attention. To realize the detection of an important area, this study proposes a two-stage method with a novel multi-input attention network (MAN). The first stage, called important area candidate generation, aims to generate candidate important areas with an image-processing algorithm (i.e., K-means++, image dilation, median filtering, and the RLSA algorithm). The candidate areas can be selected automatically for further analysis. The second stage, called important area candidate classification, aims to detect an important area from candidates with MAN. In particular, MAN is designed as a multi-input network structure, which fuses global and local image features to judge whether or not an area attracts people's attention. To enhance the representation of candidate areas, two modules (i.e., channel attention and spatial attention modules) are proposed on the basis of the attention mechanism. These modules are mainly based on multi-layer perceptron and pooling operation to reconstruct the image feature and provide considerably efficient representation. This study also contributes to a new dataset called gathering place important area detection for testing the proposed two-stage method. Lastly, experimental results show that the proposed method has good performance and can correctly detect an important area.

关键词： important area detection image processing algorithm multi-input attention network gathering place important area detection dataset

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Detection, differentiation and mapping of different states of blue mold disease of Indian gooseberry (Emblica officinalisG.) using a biospeckle technique

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EUROPEAN JOURNAL OF PLANT PATHOLOGY 2020年第4期158卷 925-937页

作者： Koley, Chhanda Nirala, Anil Kumar Indian Inst Technol Dept Phys Biomed Opt Lab Indian Sch Mines Dhanbad Dhanbad Jharkhand India

In the present paper we have used a non-contact and non-destructive laser biospeckle technique for detection, differentiation and mapping of non-infected region of a fresh Indian gooseberry and bright yellow and blue regions of a blue mold disease infected Indian gooseberry (Emblica OfficinalisG.) for the first time to the best of our knowledge. Existing image processing algorithms such as Co-occurrence Matrix, Inertia Moment, Absolute Value of Differences, Fujii, Inverse Fujii, Alternative Fujii, Parameterized Fujii, Generalized Difference (GD), Parameterized GD, Alternative GD (AGD), and three newly proposed algorithms namely Cubic Absolute Difference (CAD), qFujii, Parameterized Geometrical Mean of Temporal Difference (PGMTD), have been used for this purpose. It is concluded that for detection and differentiation, CAD provides the highest value of bioactivity difference between non-infected & bright yellow (3463.81), non-infected & blue (4250.29) and bright yellow & blue (786.48) regions where as qFujii and Fujii give better results for mapping apart from detection and differentiation of the different regions. PGMTD, Alternative Fujii, Parameterized Fujii and AGD also provide quite acceptable results for detection, differentiation and mapping of the three regions. In addition, it is also found that bioactivity decreases when Indian gooseberry is infected with the pathogen and the infected blue region has lowest bioactivity compared to the infected bright yellow region.

关键词： Biospeckle image processing algorithm Blue mold Indian gooseberry

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Evaluation of parallelization of an image processing algorithm for an embedded multicore platform using manual parallelization and the OpenMP parallel framework

Evaluation of parallelization of an image processing algorit...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Richard Prokesch Safety and Security Department High Performance Image Processing Austrian Institute of Technology GmbH

ISBN: (纸本)9781479902255

关键词： Digital signal processor Embedded system image processing algorithm Manual parallelization OpenMP Performance comparison image processing algorithm parallelization Embedded systems Digital signal processors Digital signal processing Desmoplakin Gene

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An ensemble method for nuclei detection of overlapping cervical cells

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EXPERT SYSTEMS WITH APPLICATIONS 2021年 185卷 115642-115642页

作者： Diniz, Debora Nasser Vitor, Rafael Ferreira Campos Bianchi, Andrea Gomes Delabrida, Saul Carneiro, Claudia Martins Ushizima, Daniela Mayumi Sombra de Medeiros, Fatima Nelsizeuma Freitas Souza, Marcone Jamilson Univ Fed Ouro Preto UFOP Dept Comp BR-35400000 Ouro Preto MG Brazil Univ Fed Ouro Preto UFOP Dept Anal Clin BR-35400000 Ouro Preto MG Brazil Lawrence Berkeley Natl Lab Computat Res Div Berkeley CA 94720 USA Univ Fed Ceara UFC Dept Engn Teleinformat BR-60455970 Fortaleza Ceara Brazil

The Pap test is a preventive approach that requires specialized and labor-intensive examination of cytological preparations to track potentially cancerous cells from the internal and external cervix surface. A cytopathologist must analyze many microscopic fields while screening for abnormal cells. Therefore there is hope that a support decision system could assist with clinical diagnosis, for example, by identifying sub-cellular abnormalities, such as changes in the nuclei features. This work proposes an ensemble method for cervical nuclei detection aiming to reduce the workload of cytopathologists. First, a preprocessing phase divides the original image into superpixels, which are input to feature extraction and selection algorithms. The proposed ensemble method combines three classifiers: Decision Tree (DT), Nearest Centroid (NC), and k-Nearest Neighbors (kNN), which are evaluated against the ISBI'14 Overlapping Cervical Cytology image Segmentation Challenge dataset. Experiments show that the proposed method is the state-of-the-art algorithm of the literature for recall (0.999) and F1 values (0.993). It produced a recall very close to the optimum value and also kept high precision (0.988).

关键词： Ensemble methods image processing algorithm Detection approach Cervical cancer Pap smear test

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