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Conference on Machine Vision Applications, Architectures, and Systems Integration VI

作者： Miller, JWV Wood, J Univ. of Michigan/Dearborn (United States)

ISBN: (纸本)0819426377

Low-cost PC-based machine vision systems have become more common due to faster processing capabilities and the availability of compatible high-speed image acquisition and processing hardware. One development, which is likely to have a very favorable impact on this trend, is enhanced multimedia capabilities present in new processor chips such as Intel MMX and Cyrix M2 processors. Special instructions are provided with this type of hardware which, combined with a SIMD parallel processing architecture, provides a substantial speed improvement over more traditional processors. Eight simultaneous byte or four double-byte operations are possible. The new instructions are similar to those provided by DSP chips such as multiply and accumulate and are quite useful for linear processing operations like convolution. However, only four pixels may be processed simultaneously because of the limited dynamic range of byte data. Given the inherent limitations with respect to looping in SIMD hardware, nonlinear operations such as erosion and dilation would seem to be difficult to implement. However, special instructions are available for required operations. Benchmarks for a number of image-processing operations are provided in the paper to illustrate the advantages of the new multimedia extensions for vision applications.

关键词： machine vision image processing algorithms multimedia extensions single instruction multiple data performance gains

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Deep Learning Solution for Diabetic Retinopathy Diagnosis based on Convolutional Neural Networks and image processing algorithms 9

Deep Learning Solution for Diabetic Retinopathy Diagnosis ba...

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9th IEEE International Conference on e-Health and Bioengineering (EHB)

作者： Ion, Tomozei Cosmin Elena, Nechita Lazar, Dorian Vasile Alecsandri Univ Bacau Dept Math & Informat Bacau Romania Univ Bucharest Bucharest Romania

ISBN: (纸本)9781665440004

The purpose of this paper is to reflect upon the results obtained for diabetic retinopathy diagnosis through the implementation of high-performance computing algorithms, libraries and programming languages. Their subsequent implementations aim to help medical practitioners in a precise determination of symptoms related to diabetic retinopathy, with minimal errors and with the support of Machine Learning and image processing algorithms. The solution was developed based on Python and the NumPy, Pandas, Tensorflow, Keras and Pillow libraries. The correctness of the diagnosis varies from 70% to 77%.

关键词： Diabetic Retinopathy Machine Learning image processing algorithms Convolutional Neural Network Inception Network

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System Design of FPGA Development Platform for Backbone image processing algorithms

System Design of FPGA Development Platform for Backbone Imag...

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2024 International Conference on Optimization Computing and Wireless Communication, ICOCWC 2024

作者： Leng, Shuang Heilongjiang Institute of Technology Heilongjiang Harbin China

ISBN: (纸本)9798350383348

System design plays an important role in intelligent FPGA development platforms, but there is a problem of inaccurate system positioning. The traditional iterative messaging algorithm cannot solve the problem of blurred logic functions in the intelligent FPGA development platform, and the detection effect is not satisfactory. FPGA development platform based on image processing algorithm and analyzes the system design of FPGA development platform. Firstly, the image processing theory is used to locate the influencing factors, and the indicators is divided according to the requirements of the system design to reduce the interference factors in the system design. Then, the image processing theory is used to form the system design scheme of the FPGA development platform of the image processing algorithm, and the system design results is comprehensively analyzed. © 2024 IEEE.

关键词： development platform image processing algorithms image processing theory Intelligent design Obfuscation system design

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Advanced IoT-integrated parking systems with automated license plate recognition and payment management

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SCIENTIFIC REPORTS 2025年第1期15卷 1-17页

作者： Pradhan, Gulmini Prusty, Manas Ranjan Negi, Vipul Singh Chinara, Suchismita Vellore Inst Technol Sch Comp Sci & Engn Chennai 600127 Tamil Nadu India Vellore Inst Technol Ctr Cyber Phys Syst Chennai 600127 Tamil Nadu India Natl Inst Technol Dept Comp Sci & Engn Rourkela 769008 Odisha India

Urban parking management is a growing challenge with increasing vehicle numbers and limited parking space. Traditional methods often fail during peak hours, leading to inefficiencies, unauthorized usage, and revenue losses. For instance, a parking lot designed for 300 vehicles often exceeds 90% occupancy during peak times, creating congestion and billing inaccuracies. This research proposes an automated system integrating sensors, image processing, and database management to address these issues. A single camera monitors multiple parking slots, with predefined coordinates linked to IR sensors for dual verification. image processing algorithms, including Optical Character Recognition (OCR), enable accurate license plate recognition. Testing under real-world conditions showed 95% accuracy in daylight, 90% in low light, and 93% for plates at 45-degree angles. Detection accuracy reached 88% at distances of 1.5-3 m, ensuring reliable operation even at the camera's range limits. Occupancy tracking achieved less than a 5% error margin compared to manual methods, while the fare calculation module reduced billing errors by 90%, enhancing efficiency and revenue. The system's scalable design supports applications in parking management, toll collection, and traffic monitoring. By improving vehicle detection, occupancy tracking, and billing accuracy, this solution addresses critical challenges in urban parking and contributes to smarter city infrastructure.

关键词： Intelligent transportation systems Vehicle detection and tracking image processing algorithms Internet of things (IoT) Fare calculation and management Smart parking management

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Multimodal visual image processing of mobile robot in unstructured environment based on semi-supervised multimodal deep network

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JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 2020年第12期11卷 6349-6359页

作者： Li, Yajia Hohhot Vocat Coll Dept Comp Informat Hohhot 010051 Mongolia Peoples R China

With the continuous development of computer technology, machine vision and image processing algorithms, people's research on mobile robots with vision systems is becoming deeper and deeper. This paper studies the related problems of visual image processing of mobile robots in outdoor unstructured environments. In this work, we propose a new approach that integrates heterogeneous features through a well-designed Semi-supervised multimodal deep network (SMMDN). For each modality, there is a multi-layer sub-neural network with a separate structure corresponding to it, which is used to transform features in different modes into the same modal features. At the same time, through a network layer common to all modes above these sub-neural networks, a connection is established between these different modes, and finally a plurality of heterogeneous modes is converted into the same mode and a plurality of them are extracted from fusion characteristics of data modalities. The simulation results prove that SMMDN improves the perception and recognition ability of mobile robots for outdoor complex environments.

关键词： Mobile robots image processing algorithms Deep learning Multimodal deep network Feature fusion

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Spatially polarization-modulated ellipsometry based on the vectorial optical field and image processing

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APPLIED OPTICS 2020年第18期59卷 5377-5384页

作者： Gao, Chao Lei, Bing Natl Univ Def Technol Coll Adv Interdisciplinary Studies Changsha 410073 Peoples R China

We report a new (to the best of our knowledge) ellipsometric measurement scheme called spatially polarization-modulated ellipsometry (SPME), which is based on the vectorial optical field and digital image processing. A zero-order vortex half-wave retarder (ZVHR) is employed to generate the vectorial optical field and analyze the elliptically polarized light reflected by a thin film;further, an analyzer is set after the ZVHR to form an hourglass intensity pattern due to the spatially polarization modulation;then, the film's ellipsometric angles can be obtained by processing the hourglass intensity image. By analyzing the working principle of SPME, we have found that the film's ellipsometric angles are determined by the bright areas' azimuth angle and contrast of the modulated images, and their mathematical relationships have been deduced and provided. To reduce the adverse effects of image noise and improve the measurement precision, an improved operation mode of SPME is presented by processing the modulated images with their bright areas' azimuth locating at near 45 degrees or 135 degrees and 0 degrees or 90 degrees. Numerical analyzing studies have been carried out on the SiO2 films to validate the feasibility of SPME, and the simulation experiments indicate that the SPME can operate well, even though obvious noise has been added to the modulated intensity image and the measuring error of film thickness and refractive index were less than 0.1 nm and 0.001, respectively. (C) 2020 Optical Society of America

关键词： Digital image processing image metrics image processing image processing algorithms Optical components Thin film optical properties

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An image processing approach to approximating interface textures of microcrystalline silicon layers grown on existing aluminum-doped zinc oxide textures

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OPTICS EXPRESS 2013年第22期21卷 A977-A990页

作者： Hertel, Kai Huepkes, Juergen Pflaum, Christoph Univ Erlangen Nurnberg Lehrstuhl Syst Simulat Nurnberg Germany Univ Erlangen Nurnberg Grad Sch Adv Opt Technol Nurnberg Germany Forschungszentrum Julich Photovolta IEK5 Inst Energie & Klimaforsch D-52425 Julich Germany

We present an algorithm for generating a surface approximation of microcrystalline silicon (mu c-Si) layers after plasma enhanced chemical vapor deposition (PECVD) onto surface textured substrates, where data of the textured substrate surface are available as input. We utilize mathematical image processing tools and combine them with an ellipsoid generator approach. The presented algorithm has been tuned for use in thin-film silicon solar cell applications, where textured surfaces are used to improve light trapping. We demonstrate the feasibility of this method by means of optical simulations of generated surface textures, comparing them to simulations of measured atomic force microscopy (AFM) scan data of both Aluminum-doped zinc oxide (AZO, a transparent and conductive material) and mu c-Si layers. (C) 2013 Optical Society of America

关键词： Chemical vapor deposition image processing algorithms Multijunction solar cells Surface plasmon polaritons Surface plasmon resonance Thin film solar cells

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

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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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In situ image processing capabilities of ARM-based micro-controllers

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JOURNAL OF REAL-TIME image processing 2014年第1期9卷 111-125页

作者： Taysi, Z. Cihan Yavuz, A. Gokhan Guvensan, M. Amac Karsligil, M. Elif Yildiz Tech Univ ISL Istanbul Turkey Yildiz Tech Univ Dept Comp Engn Istanbul Turkey

Dealing with visual data is the key for environmental monitoring tasks in Wireless Multimedia Sensor Networks (WMSNs). Tasks such as object detection, recognition, and/or tracking do require extracting and using the right information from the inherently large amount of visual data. The widely accepted solution of legacy WSNs, transmitting the acquired data to a central base station for further processing, would render a WMSN totally useless because of the unacceptable use of bandwidth and energy. Therefore, we consider the in situ processing as a viable solution for WMSNs. However, processing power and memory capacity restrictions of existing multimedia sensor nodes along with their power consumption are the limiting factors for wide-spread use of in situ processing. Nevertheless, recent technological improvements and introduction of the new ARM cores encourage us to evaluate the image processing capabilities of ARM7/ARM9/ARM11 based micro-controllers for in situ processing in WMSNs. In this work, we first discussed the architectural design differences among the various ARM cores. Then we classified image processing algorithms into three categories. Then, we evaluated the performance of each microcontroller by running a set of basic image processing algorithms necessary for object detection, recognition, and/or tracking. The test results show that ARM11 runs up to 6-30 times faster than ARM9 and ARM7, respectively. Besides, ARM11 consumes up to 5-7 times less energy than ARM9 and ARM7 for the same type of operations.

关键词： ARM-based micro-controllers Architectural enhancement image processing algorithms CPU time Energy consumption

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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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