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An automatic optical inspection system for inspection of CMOS compact camera module assembly

INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING 2009年第5期10卷 67-72页

作者： Ko, Kuk Won Kim, Dong Han Kim, Min Young Kim, Jong Hyeong Sunmoon Univ Dept Informat & Commun Engn Asan 336708 Cheonan South Korea Kyung Hee Univ Sch Elect Engn Yongin 446701 South Korea Kyungpook Natl Univ Sch Elect Engn & Comp Sci Taegu 702701 South Korea Seoul Natl Univ Technol Sch Mech Design & Automat Engn Seoul 139743 South Korea

This paper presents the development of an automatic inspection system to check lens focus status and white balance level and to inspect defects including black and white defect, dim defect, color defect, and line defects in manufacturing process of compact camera module. To check the imaging status and inspect the defects of compact camera module, a unique image capturing system is developed to get image data from CMOS sensor at high speed. It has a complex programmable logic device, and the camera link and the frame grabber is used to transfer and store images to PC. Several kinds of unique image charts are designed to inspect the various types of defects in compact camera module, and they are implemented and displayed on the LCD monitor directly to reduce handling and exchanging time of inspection charts during test procedures. Various image processing algorithms are developed to analyze the captured image from each test chart and to find and verify the defects of camera modules. The experimental results show that the proposed system is able to reliably inspect various types of defects with high precision and high speed in real manufacturing condition.

关键词： Compact Camera Module Complementary Metal Oxide Semiconductor Automatic Inspection image processing algorithm Defect Lens Focus

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Real-time length measurement of epidural Tuohy needle during insertion

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IET SCIENCE MEASUREMENT & TECHNOLOGY 2013年第4期7卷 215-222页

作者： Vaughan, Neil Dubey, Venketesh N. Wee, Michael Y. K. Isaacs, Richard Bournemouth Univ Sch Design Engn & Comp Poole BH12 5BB Dorset England Poole Hosp NHS Fdn Trust Dept Anaesthesia Poole Dorset England

This study presents a novel technique for the measurement of insertion depth of an epidural Tuohy needle in real-time. A wireless camera is used which transmits video images during insertion to a host computer. The computer contains the image processing algorithm to detect the visible needle in the image and measures the length. The measurement is done by HSV background removal, colour comparison and using RGB intensity profile to locate 10 mm markings on the Tuohy needle shaft. The visible length is then subtracted from the known length of the needle to calculate the depth of the needle tip. The camera can be placed in the operating theatre between 50 and 100 cm away from the needle insertion site. Wireless camera is beneficial since it minimises disturbance to the anaesthetist and the patient and avoids ethical and sterility concerns which would be caused by bringing additional equipment into the hospital room. The speed of the image processing technique is 10 frames per second with a maximum error of +/- 3 mm. The image processing failure rate was 3 frames out of 150 which gave an overall reliability of 97.8% during insertion. Also this enables continuous needle depth monitoring during insertion by storing measurements into a data file. The purpose of measuring needle depth in real time is to precisely place the needle in the epidural space.

关键词： Medical and biomedical uses of fields, radiations, and radioactivity medical image processing real-time length measurement Biomedical measurement and imaging insertion depth video cameras video images Biology and medical computing epidural Tuohy needle during insertion Optical, image and video signal processing Video signal processing health physics wireless camera Patient diagnostic methods and instrumentation image processing algorithm data file video signal processing

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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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Applications of direct detection device in transmission electron microscopy

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JOURNAL OF STRUCTURAL BIOLOGY 2008年第3期161卷 352-358页

作者： Jin, Liang Milazzo, Anna-Clare Kleinfelder, Stuart Li, Shengdong Leblanc, Philippe Duttweiler, Fred Bouwer, James C. Peltier, Steven T. Ellisman, Mark H. Xuong, Nguyen-Huu Univ Calif San Diego La Jolla CA 92093 USA Univ Calif Irvine Irvine CA 92697 USA

A prototype direct detection device (DDD) camera system has shown great promise in improving both the spatial resolution and the signal to noise ratio for electron microscopy at 120-400 keV beam energies (Xuong et al., 2007. Methods in Cell Biology, 79, 721-739). Without the need for a resolution-limiting scintillation screen as in the charge coupled device (CCD), the DDD camera can outperform CCD based systems in terms of spatial resolution, due to its small pixel size (5 mu m). In this paper, the modulation transfer function (MTF) of the DDD prototype is measured and compared with the specifications of commercial scientific CCD camera systems. Combining the fast speed of the DDD with image mosaic techniques, fast wide-area imaging is now possible. In this paper, the first large area mosaic image and the first tomography dataset from the DDD camera are presented, along with an image processing algorithm to correct the specimen drift utilizing the fast readout of the DDD system. (C) 2007 Elsevier Inc. All rights reserved.

关键词： direct detection device active pixel sensor image processing algorithm electron tomography cryo-electron microscopy cryo-electron tomography

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OVERCOMING MEMORY CONTENTION IN A DIGITAL SCAN CONVERTER

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IEE PROCEEDINGS-E COMPUTERS AND DIGITAL TECHNIQUES 1982年第1期129卷 28-32页

作者： DUCK, M QUARMBY, DJ Department of Electronic & Electrical Engineering Loughborough University of Technology Loughborough UK

The problem of memory contention in digital scan converters (DSC) is discussed. The role of the microprocessor in DSC design is examined, and the importance of uninterrupted display in the development and use of image-processing algorithms is stressed. The drawbacks inherent in interrupt and in direct memory access are pointed out and an elegant scheme using the CPU ‘READY’ feature is suggested as an alternative, cycles during which memory contention could occur are predictable, and during these cycles the CPU is prevented from addressing the store. A specific implementation is described using the TMS9900 microprocessor in a DSC displaying sector-scanned sonar images. Timing problems are discussed in detail.

关键词： direct memory access computer graphic equipment computer graphics digital scan convertor TMS9900 microprocessor channel capacity Terminals and graphic displays image processing algorithm memory contention

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Potential of low altitude multispectral imaging for in-field apple tree nursery inventory mapping

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IFAC-PapersOnLine 2016年第16期49卷 421-425页

作者： Quirós, Juan José Khot, Lav R. Center for Precision and Automated Agricultural Systems Department of Biological Systems Engineering Washington State University ProsserWA99350 United States Universidade de São Paulo Escola Superior de Agricultura Luiz de Queiroz PiracicabaSP13418-900 Brazil

Aerial imaging based plant counting is a widely studied topic in remote sensing. Nevertheless, existing methodologies are not applicable for in-field nurseries tree counting due to the complexity in canopy shapes, irregular plant spacing and growth, and diverse textures captured on the images. In this study, a new algorithm has been developed in accordance to the specific requirements of apple nurseries images. algorithm composed of two key steps, i.e. a raster processing followed by a vector analyses. First step attempt to isolate apple plant pixels using spatial, spectral, and radiometric enhancements. In vector processing, filters based on the size and location of the polygons were applied to isolate the areas resulting from earlier step to represent apple plants. algorithm was evaluated to estimate number of apple trees in an young nursery imaged with low altitude multispectral imaging system at four altitudes of 10, 25, 40, and 50 m. Multispectral imaging sensor consisted of near-infrared (NIR), green and blue as three bands. For 10- and 25-m images, algorithm performance was evaluated in individual as well as in mosaic images. Low altitude images with ≤ 25 m above ground level were ideally suited for young apple nursery tree count with 5% or less estimation error. Tree count accuracy was 97% and 95% for 10-m altitude individual and mosaic images, respectively. Similarly, those values were 92% and 88% for 25-m altitude images. Based on the results, images at 40 m are recommended only when the methodology include four extra steps added to the base algorithm to have tree count accuracies of about 88%. images at 50 m are not recommended in any case due to the low accuracy obtained (~ 75%). Overall, the low altitude multispectral imaging integrated with image processing algorithm developed in this study will aid nursery growers in low-cost and timely tree count needed for inventory mapping and management. © 2016

关键词： Trees (mathematics) Antennas Forestry Fruits image processing Infrared devices Mapping Remote sensing algorithm performance image processing algorithm Multi spectral imaging systems Multispectral imaging Multispectral imaging sensors Nursery production tree inventory Unmanned aerial systems

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The Rostock Method for Qualitative and Quantitative Evaluation of Intraocular Lenses

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KLINISCHE MONATSBLATTER FUR AUGENHEILKUNDE 2022年第12期239卷 1440-1446页

作者： Elsner, Ricardo Sievers, Jan Kunert, Martin Reiss, Stefan Bohn, Sebastian Schuenemann, Melanie Stolz, Heinrich Guthoff, Rudolf Stachs, Oliver Sperlich, Karsten Univ Med Rostock Klin & Poliklin Augenheilkunde Doberaner Str 140 D-18057 Rostock Germany Univ Rostock Interdisziplinare Fak Leben Licht & Materie Rostock Germany Martin Luther Univ Halle Wittenberg Inst Phys Halle Germany Dietrich Bonhoeffer Klinikum Neubrandenburg Klin Augenheilkunde Neubrandenburg Germany Berliner Hsch Tech Lab Sehhilfen Bereich Opt & Tech Brille Berlin Germany Univ Rostock Inst Phys Rostock Germany

Background For quantitative and qualitative evaluation of the imaging properties of IOLs, axial cross-sectional images can be obtained from the 3-dimensional light distribution by means of an optical bench, as is known from light sheet recordings in fluorescein baths. This paper presents a new image-processing algorithm to enhance the quality of generated axial cross-sectional images, and the two methods are then compared. Material and Methods The 3-dimensional point spread function of a diffractive trifocal IOL (AT LISA tri 839MP, Carl Zeiss Meditec AG, Jena, Germany) was recorded on an optical bench developed in Rostock for different pupil diameters. A specially adapted image processing algorithm was then applied to the measurements, allowing through-focus curves to be generated. In addition, cross-sectional images of the IOLs studied were acquired using the light sheet method in a fluorescein bath. Results The study clearly shows the superiority of the newly developed method over the light sheet method in terms of image quality. In addition to the individual focal points, fine focal structures as well as halos can be made visible in the cross-sectional images obtained using the new method. In the generated through-focus curves, 3 intensity peaks can be identified, which represent the near, intermediate and far focus of the tested MIOL and cannot be represented by light sheet methods. Conclusion The interaction of the optical bench with the developed image processing algorithm allows a more detailed understanding of the image formation and false light phenomena of IOLs, which was restricted by the technical limitations of the existing light sheet method. In addition, other quantities such as the through-focus curve can be derived quantitatively.

关键词： IOL optic bench fluorescein image processing algorithm cross-sectional images 3-D point spread function

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Olive separation machine based on image processing

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MECHANIKA 2016年第5期22卷 438-443页

作者： Kuncan, M. Ertunc, H. M. Kocaeli Univ Dept Mechatron Engn Fac Engn Umuttepe Campus TR-41380 Izmit Kocaeli Turkey

An olive seperation machine based on image processing has been developed in this study. For this purpose, mechanical and electronical design of the machine was performed. In the part of mechanical design, the air valves were used for separation of olives. The air valves were controlled with an electronic card according to output of the image processing algorithm. The position of the olives that were detected as black was switched and then the olives are thrown to a storage case. AN industrial digital camera was used for image processing, and an image processing algorithm is developed in Visual Basic 6.0 environment. The outputs of image processing algorithm were sent to electronic card by serial port. The image processing algorithm developed could process 30 frames per second. The image processing algorithm the system could separate 30 olives per second which is optimal and feasible for real time operation.

关键词： real time process olive separation machine industrial agriculture HSV and RGB color space Mahalanobis and Euclidean distance image processing algorithm

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An Intelligent Vision System for monitoring Security and Surveillance of ATM 12

An Intelligent Vision System for monitoring Security and Sur...

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12 IEEE Int C Elect Energy Env Communications Computer Control

作者： Ray, Sambarta Das, Souvik Sen, Anindya Heritage Inst Technol Dept Elect & Commun Kolkata India

ISBN: (纸本)9781467365406

This paper presents an automated system to increase the security and surveillance of ATM kiosks. Due to the increase of robbery in ATM kiosks, it is important to employ an automated surveillance system to protect and secure the ATM machine from threats. Currently, a camera attached with the ATM unit, records and transmits the video feed to the main server of the bank. Around the clock, this manual surveillance utilizes a lot of bandwidth for transmission. There is waste of memory and late response to emergency situation. Consequently, early detection of the situation is necessary to take preventive measures against an ongoing burglary. In this paper it is possible to detect whether a person is wearing a mask or not. The proposed system is also capable of counting the number of people present inside the ATM kiosk and generate a warning signal, thereby removes a constant human supervision, reducing the storage of unnecessary video feed and transmitting only an anomalous situation, a faster response to a threat by shutting down the ATM machine as soon the system detects the threat.

关键词： computer vision image processing algorithm surveillance machine learning Viola-Jones algorithm

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Automated Angle Detection for Industrial Production Lines Using Combined image processing Techniques

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Intelligent Automation & Soft Computing 2024年第4期39卷 599-618页

作者： Pawat Chunhachatrachai Chyi-Yeu Lin Department of Mechanical Engineering National Taiwan University of Science and TechnologyTaipei106TaiwanChina Center for Intelligent Manufacturing Innovation National Taiwan University of Science and TechnologyTaipei106TaiwanChina

Angle detection is a crucial aspect of industrial automation,ensuring precise alignment and orientation ofcomponents in manufacturing *** the widespread application of computer vision in industrialsettings,angle detection remains an underexplored domain,with limited integration into production *** addresses the need for automated angle detection in industrial environments by presenting a methodologythat eliminates training time and higher computation cost on Graphics processing Unit(GPU)from machinelearning in computer vision(e.g.,Convolutional Neural Networks(CNN)).Our approach leverages advanced imageprocessing techniques and a strategic combination of algorithms,including contour selection,circle regression,polar warp transformation,and outlier detection,to provide an adaptive solution for angle *** configuringthe algorithm with a diverse dataset and evaluating its performance across various objects,we demonstrate itsefficacy in achieving reliable results,with an average error of only 0.5 ***,this error margin is 3.274times lower than the acceptable *** study highlights the importance of accurate angle detection inindustrial settings and showcases the reliability of our algorithm in accurately determining angles,thus contributingto improved manufacturing processes.

关键词： Angle detection image processing algorithm computer vision machine vision industrial automation

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