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High-performance high dynamic range image generation by inverted local patterns

IET image processing 2015年第12期9卷 1083-1091页

作者： Hsia, Shih-Chang Kuo, Ting-Tseng Natl Yunlin Univ Sci & Technol Dept Elect Engn Touliu Yunlin Taiwan

This study presents an image processing algorithm capable of generating high dynamic range (HDR) images from a single frame. On the basis of liquid crystal display (LCD) backlight theory, the proposed algorithm uses an inverted local pattern approach to adjust the histogram of lighting distribution. To improve processing efficiency, sampled images are classified into three types according to exposure characteristics, which are used to obtain suitable processing factor. The inverting factor is mixed with the original sample to darken the bright areas and brighten the dark areas in the images. Brightness enhancement and auto-gain control are then added to expand the range of the grey levels. Authors' results demonstrate the efficacy of the proposed HDR algorithm in improving shadow details. In addition, single-pass processing is used to reduce computational complexity, making the algorithm applicable for low-power portable cameras and video recorders.

关键词： image processing high dynamic range image generation image processing algorithm LCD backlight theory inverted local pattern approach inverting factor brightness enhancement HDR algorithm computational complexity single-pass processing

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image-based intelligent detection of typical defects of complex subway tunnel surface

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TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY 2023年 140卷

作者： Xu, Lizhi Wang, Yaodong Dong, Anqi Zhu, Liqiang Shi, Hongmei Yu, Zujun Beijing Jiaotong Univ Sch Mech Elect & Control Engn Beijing 100044 Peoples R China Collaborat Innovat Ctr Railway Traff Safety Beijing Peoples R China Univ Calif Irvine Dept Mech & Aerosp Engn Irvine CA USA

We propose a new hybrid model algorithm that addresses the challenges of recognizing multiple objects. Specifically, objects are recognized from massive, large-scale, and complex tunnel images without repeated parameter adjustments and high-cost annotation datasets. Our algorithm utilizes a multi-scale, fusion-based encoder-decoder segmentation model to classify objects from high-resolution images of the tunnel surfaces. To enhance the accuracy of crack identification from complex backgrounds, we incorporate the Expanded Threshold Search (ETS) algorithm and the Local Window Extraction (LWE) algorithm. The acquisition device and the algorithm, implementing the multi-object dataset, have successfully tested, whereby it recognizes five objects and attains the highest Intersection over Union (39.3% for the crack object, 65.6% for the leakage object, and 75.7% for the rest).

关键词： Intelligent detection image processing algorithm Convolutional neural network Semantic segmentation Subway tunnel Structural health monitoring

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Exact and reliable overlay metrology in nanoscale semiconductor devices using an image processing method

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JOURNAL OF MICRO-NANOLITHOGRAPHY MEMS AND MOEMS 2014年第4期13卷

作者： Park, Jinkook Shin, ChaeHo Kim, Minkook Kim, Junghwan Park, JeongKyun Kim, JungSoo Jun, ChungSam Yim, Yeny Lee, Janghee Samsung Elect Memory Div Hwasung City 445701 Gyeonggi Do South Korea Samsung Elect Mfg Technol Ctr Suwon 443742 Gyeonggi Do South Korea

As semiconductor processing becomes more complicated and pattern sizes shrink, the overlay metrology has become one of the most important issues in the semiconductor industry. Therefore, in order to obtain correct, reliable overlay values in semiconductor fabrication facilities (fab), quantization methods for the efficient management and implementation of a measurement algorithm are required, as well as an understanding of the target structures in the semiconductor device. We implemented correct, reliable overlay values in the pattern using the image processing method. The quantization method, through correlation analysis and a new algorithm for target structures, were able to improve the sensitivity to misalignment in the pattern and enable more stable and credible in-line measurement by decreasing the distribution of the residuals in overlay values. Since overlay values of the pattern in the fab were measured and managed more reliably and quickly, it is expected that our study will be able to contribute to the yield enhancement of semiconductor companies. (C) 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)

关键词： overlay error overlay residual critical-dimension scanning electron microscope image processing algorithm noise reduction

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Automated defect inspection system for CMOS image sensor with micro multi-layer non-spherical lens module

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JOURNAL OF MANUFACTURING SYSTEMS 2017年 45卷 248-259页

作者： Kuo, Chung-Feng Jeffrey Lo, Wen-Chi Huang, Yan-Ru Tsai, Hsin-Yang Lee, Chi-Lung Wu, Han-Cheng Natl Taiwan Univ Sci & Technol Grad Inst Automat & Control 43Sect 4Keelung Rd Taipei 106 Taiwan Chrome Ate Inc Integrated Syst Solut BU 66 Hwaya 1st RdKueishan Hwaya Technol Pk Taoyuan 33383 Taoyuan County Taiwan Natl Taiwan Univ Sci & Technol Dept Mat Sci & Engn 43Sect 4Keelung Rd Taipei 106 Taiwan

This study presented an optical inspection system for micro multi-layer non-spherical lens module of complementary metal-oxide-semiconductor (CMOS) image sensor. The lens module structure was multilayer. When light passes through the non-spherical lens module, it causes a halo due to reflection and refraction, and leads to defects that are difficult to detect. When extracting the image, the image resolution and size of defects need to be considered. The depth of field of the magnification lens does not cover the height of the inspected object. These two problems make follow-up defect detection difficult. This study provided an innovative solution to deal with these issues, and developed a CMOS image sensor (CIS) with non-spherical lens module inspection system. The proposed design consisted of three stages: 1) image registration and brightness correction: applying Retinex algorithm for brightness correction, in order to avoid difficulties in subsequent defect detection resulted from the light source into multilayer lens module;2) defect detection: using image processing to segment the defects in the analyte, implementing an experimental machine to solve the depth of field that could not cover the analyte height, and performing the Z-axis mobile platform to capture multilayer image;to avoid extensive defects influencing the imaging quality of nearby layers, using the defect integrity and defect sharpness for identification, thus eliminating the effect of extensive defects, segmenting the defects accurately, and calculating the feature values;3) defect identification: applying the support vector machine (SVM) for classification. The experimental result showed that the accuracy of defect recognition was more than 94.7%. The presented hardware architecture and on-line software processing procedure can be applied in the real inspection system. (c) 2017 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.

关键词： Complementary metal oxide semiconductor Automatic inspection image processing algorithm Micro multi-layer aspherical lens module

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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 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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Measuring cellular migration with image processing

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ELECTRONICS LETTERS 2008年第13期44卷 781-U27页

作者： Reyes-Aldasoro, C. C. Biram, D. Tozer, G. M. Kanthou, C. Univ Sheffield Sch Med & Biomed Sci Acad Unit Surg Oncol Canc Res UK Tumour Microcirculat Grp Sheffield S10 2RX S Yorkshire England

An image-processing algorithm for analysis of migration of vascular endothelial cells in culture is presented. The algorithm correctly detected the cellular regions on either side of an artificial 'wound' made by dragging a sterile pipette tip across the monolayer of cells (scratch wound assay). Frequency filtering and mathematical morphology were used to approximate the boundaries of cellular regions. This allowed measurement of the distance between the regions, and therefore the migration rates, regardless of the orientation of the wound and even in cases where the cells were sparse and not tightly packed.

关键词： Optical, image and video signal processing frequency filtering Computer vision and image processing techniques medical image processing cellular migration measurement Biomedical engineering vascular endothelial cell culture artificial wound Biological transport Biology and medical computing cellular and subcellular transmembrane physics wounds cell motility Biomedical measurement and imaging image processing algorithm mathematical morphology scratch wound assay

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Modelling perception using image processing algorithms 09

Modelling perception using image processing algorithms

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British Computer Society Conference on Human-Computer Interaction

作者： Pradipta Biswas Peter Robinson University of Cambridge

User modeling is widely used in HCI but there are very few systematic HCI modelling tools for people with disabilities. We are developing user models to help with the design and evaluation of interfaces for people with a wide range of abilities. We present a perception model that can work for some kinds of visually-impaired users as well as for able-bodied people. The model takes a list of mouse events, a sequence of bitmap images of an interface and locations of different objects in the interface as input, and produces a sequence of eye-movements as output. Our model can predict the visual search time for two different visual search tasks with significant accuracy for both able-bodied and visually-impaired people.

关键词： human computer interaction image processing perception model computer human interaction image processing algorithm image processing user modelling bitmap images Persons Visual Search senses Perception search time Modeling

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A Methodology to Estimate the Energy Consumption and processing Time for image processing algorithms in Advanced Driver Assistance Systems

A Methodology to Estimate the Energy Consumption and Process...

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ARCS 2017;30th International Conference on Architecture of Computing Systems

作者： Christian Hartmann Christian Widerspick Dietmar Fey Department of Computer Science Chair of Computer Architecture Friedrich-Alexander-University Erlangen-Nurnberg (FAU)

Recent trends in the automotive sector led to the use of more computing architectures inside the car. The reason for this increase is the usage of new advanced driver assistance systems (ADAS) in order to avoid human made accidents. Headed by Tesla, BMW and Mercedes all vast automobile manufacturer attempt to integrate ADAS systems inside their cars. With increasing system complexity and increasing costs a methodology to determine the functional properties and also to predict the non-functional properties is necessary in the early project stages. In contrast to systems with standard PC solutions, image processing advanced driver assistance systems are part of the embedded field. These systems have strict constraints such as processing time and energy consumption. Nowadays, simulation environments are used to consider the non-functional properties in the early stages of the design phase. These simulators are often inaccurate and have long simulation time for complex systems. In our work we introduce a novel methodology, based on the reuse distance theory to estimate non-functional properties for image processing algorithms in advanced driver assistance systems.

关键词： advanced driver assistance systems (ADAS) image processing algorithm processing time energy consumption Driver Assistance Systems functional characteristics Cars design phases

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Single image dehazing by latent region-segmentation based transmission estimation and weighted L₁-norm regularisation

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IET image processing 2017年第2期11卷 145-154页

作者： Cui, Tong Tian, Jiandong Wang, Ende Tang, Yandong Chinese Acad Sci Shenyang Inst Automat State Key Lab Robot Shenyang Peoples R China Univ Chinese Acad Sci Shenyang Inst Automat Beijing Peoples R China Chinese Acad Sci Shenyang Inst Automat Key Lab Opt Elect Informat Proc Shenyang Peoples R China

image dehazing is a useful technique which can eliminate the bad effect of haze on images and enhance the performances of image/video processing algorithms in the hazy weather. In this study, a single image dehazing method is proposed. The authors estimate the initial transmission properly based on latent region-segmentation and refine the estimated initial transmission by an objective function with a novel weighted L-1-norm regularisation term. The half-quadratic splitting minimisation method is employed to solve this optimisation problem. They also define an evaluation function to estimate the reliable global atmospheric light. With the refined transmission map and atmospheric light they recover the haze-free image by the haze imaging model. The authors' method is compared with three state-of-the-art methods and is also validated by two image quality assessment methods. The comparative experimental results and evaluations demonstrate that their method can recover comparable and even better results with clear details, low contrast loss and high contrast in most cases.

关键词： image restoration image segmentation estimation theory single image dehazing method latent region-segmentation transmission estimation weighted L-1-norm regularisation image processing algorithm video processing algorithm objective function half-quadratic splitting minimisation method refined transmission map atmospheric light haze-free image image quality assessment method

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image processing of weld pool and keyhole in Nd：YAG laser welding based on edge predicting

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China Welding 2011年第3期20卷 67-70页

作者：高进强秦国梁杨家林何建国张涛武传松 Key Lab for Liquid-Solid Structure Evolution and Materials Processing （Ministry of Education） Shandong University Jinan 250061 Institute of Machinery Manufacturing Technology China Academy of Engineering Physics

Laser welding is one of high efficiency, high energy density welding methods. Quality control should be applied to ensure good welding quality. Weld pool and keyhole contains abundant information of welding quality. Good image processing algorithm is necessary in quality control system based on visual sensing. Aiming at the image captured by a coaxial visual sensing system for laser welding, an image processing algorithm is designed. An edge predicting method is proposed in image processing algorithm which is based on the fact that the local shape of weld pool can be fitted to a circle. The results show that the algorithm works well. It lays solid foundation for further quality control in laser welding.

关键词： laser welding weld pool edge image processing algorithm edge predicting

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