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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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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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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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A Particle-image Velocimetry System for Measurement of Velocity Flow Fields for Investigations of Thermohydraulic Processes on the Large-Scale Benchmark of a Promising Fast-Neutron Reactor

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INSTRUMENTS AND EXPERIMENTAL TECHNIQUES 2017年第3期60卷 418-427页

作者： Sergeev, D. A. Kandaurov, A. A. Troitskaya, Yu. I. Pakholkov, V. V. Rogozhkin, S. A. Shepelev, S. F. Russian Acad Sci Fed Res Ctr Inst Appl Phys Nizhnii Novgorod 603950 Russia Afrikantov Joint Stock Co Expt Design Bur Mech Engn Nizhnii Novgorod 603074 Russia

The use of visualization techniques in the research on thermohydraulic processes using large-scale models of nuclear power plants is discussed. In particular, the original particle-image velocimetry (PIV) measurement system at the TISEI test bench was presented, which is a model of a proposed fast-neutron reactor. Illumination and video-filming systems with the simultaneous use of several lasers and camcorders, as well as image-processing algorithms that make it possible to carry out field measurements with high precision in a complex configuration of the reactor model, reflections and distortions of the laser knife section, and shadowing by obstacles are described. The developed methodology of conversion of the image coordinates and velocity field into the reference system of the reactor model using a virtual 3D simulation made it possible to significantly simplify the experiments.

关键词： image processing algorithm Fast nuclear reactors flow field particle image velocimetry Camcorders Speed measurement Shadowing (Histology) field measure velocity field reference system thermohydraulics

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In-Plane Displacement and Strain image Analysis

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COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING 2016年第4期31卷 292-304页

作者： Almeida, Graca Melicio, Fernando Biscaia, Hugo Chastre, Carlos Fonseca, Jose Manuel Lisbon Super Engn Inst Rua Conselheiro Emidio Navarro 1 P-1959007 Lisbon Portugal Univ Nova Lisboa Fac Sci & Technol P-2829516 Caparica Portugal

Measurements in civil engineering load tests usually require considerable time and complex procedures. Therefore, measurements are usually constrained by the number of sensors resulting in a restricted monitored area. image processing analysis is an alternative way that enables the measurement of the complete area of interest with a simple and effective setup. In this article photo sequences taken during load displacement tests were captured by a digital camera and processed with image correlation algorithms. Three different image processing algorithms were used with real images taken from tests using specimens of PVC and Plexiglas. The data obtained from the image processing algorithms were also compared with the data from physical sensors. A complete displacement and strain map were obtained. Results show that the accuracy of the measurements obtained by photogrammetry is equivalent to that from the physical sensors but with much less equipment and fewer setup requirements.

关键词： image processing algorithm Photogrammetry STRAIN MAPPING Dislocated Workers image analysis Sensors physical sensor accuracy of measurement Digital cameras

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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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image processing for the Oil Sands Mining Industry

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IEEE SIGNAL processing MAGAZINE 2008年第6期25卷 200-+页

作者： Zhang, Hong Univ Alberta Edmonton AB T6G 2M7 Canada

Oil sands mining is an outdoor and continuous operation, conducted under all weather conditions. Robust and reliable image processing algorithms are called for to deliver accurate information with which operational decisions are made. Oil sands are observed at many points in the ore preparation pipeline, and each scenario defines a separate problem and presents different challenges. For example, oil sands can be imaged at the entrance to the crusher, on a conveyor belt after crushing, or before or after screening on a largely empty belt or with the large fragments amid fine fragments. The problem of measuring ore size can be formulated as one of image segmentation in which the foreground - i.e., relatively large ore fragments - are to be identified and delineated from each other as well as from the background, in a static image or in a video sequence. In what follows we describe the scenario and main steps of the image segmentation-based solution.

关键词： image segmentation image sequences mining industry oil technology video signal processing image processing algorithm oil sands mining industry ore preparation pipeline video sequence weather condition image processing Mining and extractive industries image sequences spotlights image segmentation weather condition image processing algorithm Video sequences Video signal processing OIL SAND MINING

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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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3-Dimensional rotational X-ray imaging, 3D-RX: image quality and patient dose simulation for optimisation studies

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RADIATION PROTECTION DOSIMETRY 2005年第1-3期114卷 341-349页

作者： Kroon, JN Philips Med Syst NL-5680 DA Best Netherlands

We have developed a full-scale simulation model as a tool for X-ray system design, image quality optimisation and patient dose reduction. The model supports the (de-)composition of system level requirements and takes inherent care of the prerequisite mutual coherence between component requirements. Furthermore, the model is equipped with several types of automatic X-ray control loop simulations. All relevant patient dose and image quality items are calculated, such as contrast, sharpness, lag and noise and finally combined in IQ figures of merit'. The short calculation times realised enable comprehensive multi-parameter optimisation studies. Initially, the IQ model dealt with the performance of flat' projection X-ray systems referred to as two-dimensional (2D). Nowadays, 2D X-ray systems are increasingly used for three-dimensional rotational X-ray imaging (3D-RX). An additional 3D-RX module, dealing with patient dose as well as image quality, will simplify and accelerate specific 3D-RX optimisations concerning, e.g. exposure factors, dose control concepts and image processing algorithms.

关键词： image processing algorithm computational time X-ray system Intelligence Quotient Parameter optimization Noise image quality Intelligence Measures

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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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