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Particle motion tracking utilizing a high-resolution digital CCD camera

GEOTECHNICAL TESTING JOURNAL 2000年第1期23卷 123-134页

作者： Paikowsky, SG xi, F Univ Massachusetts Dept Civil & Environm Engn Geotech Engn Res Lab Lowell MA 01854 USA

Digital imaging acquisition and processing is applied for the tracking of a two-dimensional assembly of disks. The disks are used to assemble models for studying granular material behavior for which the kinematics of the individual particles, and hence the disks' trajectory during motion, are of cardinal importance. Large particle size is dictated by photoelastic interparticle interaction analysis. Therefore, a sufficiently large representative number of particles results in a large physical model. The system requirements of a sizable physical model comprised of a large number of particles, and simultaneous precise tracking of all particles, are achieved through the use of high-resolution digital CCD camera and semi-automatic image processing and analysis algorithms. The physical system setup, image acquisition procedure, calibration, accuracy, and algorithms of analysis are described. The system's performance is demonstrated through test results describing the displacement field along with the motion and interaction of individual particles. The system's advantages in providing detailed tracking of a large number of particles with minimal labor are unmatched by any other technique. The data obtained by such systems allow a better understanding of particulate media behavior with the ability to examine and calibrate numerical models on an individual grain basis.

关键词： image processing granular material particle interface shear tracking CCD

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A 4Kx2K@60fps Multifunctional Video Display Processor for High Perceptual image Quality

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IEEE TRANSACTIONS ON CIRCUITS AND systems I-REGULAR PAPERS 2020年第2期67卷 451-463页

作者： Wang, Hang Li, xiang Han, Daqiang Yu, Shiquan Yin, Shouyi Wei, Shaojun Zheng, Nanning Zhang, Xuchong Wang, Tiancheng Li, Wenchang Chen, Qiubo Ren, Pengju Wu, xiaogang Sun, Hongbin Jiang, Zhiqiang Xi An Jiao Tong Univ Sch Microelect Inst Artificial Intelligence & Robot Xian 710049 Peoples R China Xi An Jiao Tong Univ Xian 710049 Peoples R China Bytedance Inc Beijing 100084 Peoples R China Hisilicon Inc Wireless Digital Chipset Dev Dept Shanghai 201206 Peoples R China Changhong Elect Co Ltd Mianyang 621000 Sichuan Peoples R China Tsinghua Univ Inst Microelect Beijing 100084 Peoples R China

Video display processing is an indispensable module in a variety of multimedia systems. With the increase of video format to 4K $\times$ 2K& x0040;60fps, the design of efficient display processing circuit faces severe challenges. This paper presents a video display processor which supports a variety of video formats and integrates multiple advanced algorithms for perpetual image quality improvement. By leveraging algorithm and architecture co-design, this paper efficiently implements these computational and memory intensive display processing algorithms in a single chip. In particular, we describe three representative design modules in detail, including motion compensated frame rate up-conversion, content-adaptive contrast enhancement, and backlight local dimming. Extensive experiments demonstrate that the proposed design modules outperform the previous works in terms of either image quality or hardware efficiency. The overall chip is fabricated in GF 55nm CMOS technology, and can work at the maximum operating frequency of 594 MHz. The maximum input and output video formats reach up to 4Kx2K@60fps.

关键词： Video display processing ultra-high definition frame rate up-conversion contrast enhancement backlight local dimming

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Real-Time System for Detecting Harmful Ingredients in Underarm Products Using Optical Character Recognition and Machine Learning Techniques 9th

Real-Time System for Detecting Harmful Ingredients in Unde...

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9th International conference on Smart City Applications, SCA 2024

作者： Ghani, Nur Hidayah Abdul Abidin, Nor Afirdaus Zainal Aminuddin, Raihah Samah, Khyrina Airin Fariza Abu Roslan, Ahmad Yusri Ghaffar Nasir, Siti Diana Nabilah Mohd College of Computing Informatics and Mathematics MARA University of Technology Malacca Branch (Jasin Campus) Malacca Malaysia Yus Industries Sdn Bhd Johor Bahru Malaysia University of Hull Hull United Kingdom

ISBN: (纸本)9783031886522

Personal hygiene products, such as underarm products, deodorants, and antiperspirants, are essential for daily use. However, many people are concerned about the potential health effects of the unfamiliar ingredients listed on these products. Existing applications that help consumers check product safety often require account creation, contain advertisements, or provide unhelpful results. As a result, users aim to search manually for each ingredient on the label, which can be time-consuming. Therefore, this study aims to develop a real-time system that can quickly detect and accurately identify harmful chemical substances;Propylene glycol, and Aluminum in underarm products. The system applied Optical Character Recognition (OCR) to extract ingredient names and a Support Vector Machine (SVM) for classification. The system’s ability to detect with 93.4% accuracy in classifying 120 test samples using the SVM classifier. For future work, the system’s dataset can be expanded to include more chemical compounds that may have harmful effects. Furthermore, various machine learning methods and OCR tools could be evaluated to enhance performance, classification accuracy, and text detection in subsequent research. The proposed system provides a potential solution to offer consumers a quick and reliable method to determine the safety of underarm products, and it can help consumers make informed decisions about the safety of the products they use every day. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Harmful product image processing Machine learning Optical Character Recognition Support Vector Machine Underarm product

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Application of image processing techniques in computer graphics algorithms

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COMPUTER NETWORKS AND ISDN systems 1997年第14期29卷 1705-1714页

作者： Rokita, P Institute of Computer Science Warsaw University of Technology ul. Nowowiejska 15/19 00-665 Warsaw Poland

image processing is usually associated with pattern recognition and is rather treated as a subject outside of the computer graphics interest. Basically computer graphics algorithms are used for the visualization of scenes or models described using some abstract notation, while image processing is used on the opposite way -i.e. when finding an abstract description of an analyzed pattern. This paper proposes to use the image processing approach for rendering optical effects in computer graphics algorithms. Proposed algorithms can be used for the generation of realistic and artistic optical effects in real-time, in, for example, visual simulators, virtual reality or multi-media applications. (C) 1997 Elsevier Science B.V.

关键词： visual simulators real time rendering image processing rendering optical phenomena convolution

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Identity-plus-row matrix decomposition and its application in design of parallel projection algorithms

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JOURNAL OF ELECTRONIC IMAGING 2001年第3期10卷 814-824页

作者： Li, HZ Shi, HC Univ Missouri Dept Comp Engn & Comp Sci Columbia MO 65211 USA

Many image processing operations can be abstracted into matrix operations. With the help of matrix analysis, we can understand the inherent properties of the operations and thus design better algorithms. In this paper, we propose a matrix decomposition method referred to as identity-plus-row decomposition, The decomposition is particularly useful in design of parallel projection algorithms on mesh-connected computers. Projection is a frequently used process in image processing and visualization. In volume graphics, projection is used to render the essential content of a three-dimensional volume onto a two-dimensional image plane. For Radon transform, projection is used to transform the image space into a parameter space. By applying the identity-plus-row matrix decomposition method, we solve the data redistribution problem due to the irregular data access patterns present in those applications on single instruction stream, multiple data stream (SIMD) mesh-connected computers, developing fast algorithms for volume rendering and Radon transform on SIMD mesh-connected computers. (C) 2001 SPIE and IS&T.

关键词： image processing Radon transform Array processing 3D image processing Matrices Binary data Imaging systems Algorithm development Computing systems Visualization

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Method and architecture for quantification of bone structure using microscopic image slices

Method and architecture for quantification of bone structure...

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conference on image processing - algorithms and systems xi

作者： Krishnan, Sunderam Agaian, Sos Mecke, Dana Montelongo, Sergio Alejandro Wang xiaodu Univ Texas San Antonio Dept Elect & Comp Engn 1 UTSA Circle San Antonio TX 78249 USA

ISBN: (纸本)9780819494283

This paper presents a new system that reconstructs, visualizes and classifies trabecular bone structure by using microscopic image slices. In this study, we evaluated the structure of a trabecular bone using 3D X-ray imaging after passing through the special image enhancement and de-nosing algorithms. We propose a new simple imaging technique tool for the quantification of structural changes within the micro architecture of human bones by enhancing the characteristics attributes of the bone architecture from mu-CT scans. Computer simulation illustrates that the presented imaging technique has the potential to become a powerful tool to investigate the structure of trabeculae during in vivo measurements.

关键词： 3D Trabecular Bone image Enhancement Microscopic images

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Fast DCT-based algorithm for signal and image accurate scaling

Fast DCT-based algorithm for signal and image accurate scali...

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conference on image processing - algorithms and systems xi

作者： Bilevich, Leonid Yaroslavsky, Leonid Tel Aviv Univ Fac Engn Dept Phys Elect IL-69978 Tel Aviv Israel

ISBN: (纸本)9780819494283

A new DCT-based algorithm for signal and image scaling by arbitrary factor is presented. The algorithm is virtually free of boundary effects and implements the discrete sinc-interpolation, which preserves the spectral content of the signal, and therefore is free from interpolation errors. Being implemented through the fast FFT-type DCT algorithm, the scaling algorithm has computational complexity of O(log left perpendicular sigma N right perpendicular) operations per output sample, where N and left perpendicular sigma N right perpendicular are number of signal input and output samples, correspondingly.

关键词： scaling DCT convolution fast algorithm

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Face Recognition Based on Logarithmic Local Binary Patterns

Face Recognition Based on Logarithmic Local Binary Patterns

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conference on image processing - algorithms and systems xi

作者： Mandal, Debashree Panetta, Karen Agaian, Sos Tufts Univ Dept Elect & Comp Engn Medford MA 02155 USA

ISBN: (纸本)9780819494283

This paper presents a novel approach to the problem of face recognition that combines the classical Local Binary Pattern (LBP) feature descriptors with image processing in the logarithmic domain and the human visual system. Particularly, we have introduced parameterized logarithmic image processing (PLIP) operators based LBP feature extractor. We also use the human visual system based image decomposition, which is based on the Weber's law to extract features from the decomposed images and combine those with the features extracted from the original images thereby enriching the feature vector set and obtaining improved rates of recognition. Comparisons with other methods are also presented. Extensive experiments clearly show the superiority of the proposed scheme over LBP feature descriptors. Recognition rates as high as 99% can be achieved as compared to the recognition rate of 96.5% achieved by the classical LBP using the AT&T Laboratories face database.

关键词： Local Binary Patterns Logarithmic image processing Feature Extraction Human Visual System

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Froth delineation based on image classification

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MINERALS ENGINEERING 2003年第11期16卷 1183-1192页

作者： Wang, W Bergholm, F Yang, B Uppsala Univ S-19162 Sollentuna Sweden Royal Inst Technol Stockholm Sweden

This paper describes a set of image segmentation algorithms for mineral froth images, based on gray-value valley detection and a kind of image classification. The size, shape, texture and color of froth bubbles are very important pieces of information for production optimization in mineral processing. In order to determine these parameters, bubbles in a froth image first have to be delineated. Froth images display a large variation of image patterns and quality, thus it is difficult to use only a single algorithm for segmenting all images. To achieve successful segmentation the images are first classified into image classes. Then sets of segmentation algorithms are used, based on the different image classes. The segmentation algorithms and classification algorithms have been tested in a laboratory and in industrial on-line systems for froth images, the test results show that they are robust for froth images. The processing speed for the segmentation algorithm is much faster than for a standard morphological segmentation algorithm. The processing accuracy is comparable to manual drawn result. This test shows that the algorithms work satisfactorily. (C) 2003 Elsevier Ltd. All rights reserved.

关键词： flotation froth flotation bubbles classification process control on-line analysis

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Krylov subspace iterative methods for nonsymmetric discrete ill-posed problems in image restoration

Krylov subspace iterative methods for nonsymmetric discrete ...

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conference on Advanced Signal processing algorithms, Architectures, and Implementations xi

作者： Calvetti, D Lewis, B Reichel, L Case Western Reserve Univ Dept Math Cleveland OH 44106 USA

ISBN: (纸本)0819441880

The BiCG and QMR methods are well-known Krylov subspace iterative methods for the solution of linear systems of equations with a large nonsymmetric, nonsingular matrix. However. little is known of the performance of these methods when they are applied to the computation of approximate solutions of linear systems of equations with a matrix of ill-determined rank. Such linear systems are known as linear discrete ill-posed problems. We describe an application of the BiCG and QMR methods to the solution of linear discrete ill-posed problems that arise in image restoration, and compare these methods to the conjugate gradient method applied to the associated normal equations and to total variation-penalized Tikhonov regularization.

关键词： BiCG QMR regularization ill-posed problem iterative method image restoration

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