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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems XI"

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Predicting the association between fine-grained attributes and black-boxed perceptual performance 35

Predicting the association between fine-grained attributes a...

引用

35th Youth Academic Annual conference of Chinese-Association-of-Automation (YAC)

作者： Shang, Biyao Zhang, Chi Liu, Yuehu Wang, Le Li Li Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian Peoples R China Shaanxi Key Lab Digital Technol & Intelligent Sys Xian Peoples R China Tsinghua Univ Dept Automat BNRist Beijing Peoples R China

ISBN: (纸本)9781728176840

Per-image performance of a certain visual perception algorithm is the combination of per-task performances in the image. Based on the black box test, we address to discover and explain the potential shortness of the evaluated intelligent algorithms/systems at the line-grained task-level by human knowledge. By assuming the domain knowledge in visual tasks could be represented by a latent vector which is a sparse embedding of the catenated object-level and image-level features, we propose a latent dictionary learning framework for joint latent knowledge representation and knowledge-output regression at task level. In this way, so we can use semantic concepts to explain the relationship between test cases and test results. The experiments validate the idea of task-level explainable AI evaluation initially as well as the effectiveness of proposed method.

关键词： algorithm evaluation interpretation visual perception algorithm task-level

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Object-based Stereo Matching Using Adjustable-cross for Depth Estimation 2

Object-based Stereo Matching Using Adjustable-cross for Dept...

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IEEE International conference on Consumer Electronics - Taiwan (ICCE-TW 2015)

作者： Wang, Li-Hung Tsai, Kai-Lung Wu, Chung-Bin

ISBN: (纸本)9781479987450

In this paper, an algorithm of object-based stereo matching using adjustable-cross is proposed for depth estimation. The algorithm can generate the depth map of the target objects in the image. It is composed of three steps: Pre-processing, Matching Cost Aggregation and Refinement. In Pre-processing, the Edge Detection is used to remove redundant background information and retain shapes of objects. To improve the shapes of objects, the Object Extension is further applied. Then, the holes generated by previous processing are removed by the Hollow Filling. In Matching Cost Aggregation step, the proposed adaptive window whose size is computed by extracted region of object is used for the Stereo Matching. Moreover, the disparity map is computed and transformed to depth map by the Stereo Matching. Finally, the generated depth map is refined by median filter in the Refinement. The experimental results show that the proposed algorithm can reduce the computational complexity about 91%.

关键词： Belief propagation Estimation Filling Filtering algorithms image edge detection Matched filters Real-time systems

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Underwater visual image denoising based on total variation method

Underwater visual image denoising based on total variation m...

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2022 conference on Infrared, Millimeter, Terahertz Waves and Applications, IMT 2022

作者： Li, Yangyang He, Dahua Li, Yapeng Huazhong Institute of Electro-Optics Wuhan National Laboratory for Optoelectronics Wuhan430223 China

ISBN: (纸本)9781510662476

Optical imaging technology is one of the main technology for underwater detection and recognition. However, the serious image noise occurred in the optical imaging and the signal to noise ratio of image decreased, due to water scattering and turbulence, background light interference and other factors. In this paper, an underwater visual image denoising algorithm based on total variation method is proposed to improve the signal-to-noise ratio of the underwater image at the same time keep the detail information of images. Based on the linear noise model of the image, the total variation model of the image is established and the partial differential equation of image problem is converted to optimization problems, which can be solved by gradient descent algorithm and finite difference algorithm. The method based on total variation was proposed to reduce the noise of underwater images compare with other traditional algorithms and verified by the simulation experiment and underwater experiment. Experimental verifications: after the image processing of the algorithm, the objective reference image quality evaluation index image peak signal-to-noise ratio (PSNR) was improved to more than 20 dB, and the score of no reference image quality evaluation index was improved by 4.8 times. The method can be applied to an underwater exploration and image enhancement for scatterer imaging applications. © 2023 SPIE.

关键词： Signal to noise ratio

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A Concept of Smart Medical Autonomous Distributed System for Diagnostics Based on Machine Learning Technology 19th

A Concept of Smart Medical Autonomous Distributed System for...

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19th International conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and systems (NEW2AN) / 12th conference on the Internet of Things and Smart Spaces ruSMART (Are You Smart)

作者： Velichko, Elena Nepomnyashchaya, Elina Baranov, Maxim Galeeva, Marina A. Pavlov, Vitalii A. Zavjalov, Sergey V. Savchenko, Ekaterina Pervunina, Tatiana M. Govorov, Igor Komlichenko, Eduard Peter Great St Petersburg Polytech Univ St Petersburg Russia Almazov Natl Med Res Ctr St Petersburg Russia

ISBN: (纸本)9783030308599;9783030308582

Telemedicine is a promising direction in the development of medical technologies for the interaction of patients with doctors at a distance. In this paper, we consider the use of telemedicine technologies for the development of smart medical autonomous technology. An example of a smart medical autonomous distributed system for diagnostics is also discussed. To develop this system for medical image analysis we review several processing methods and machine learning algorithms. Some examples of medical system processing results are presented.

关键词： Telemedicine Medical diagnostics image processing

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Study on the identification system of car license plate based on imbedded computer system

Study on the identification system of car license plate base...

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2010 2nd International conference on Education Technology and Computer, ICETC 2010

作者： Zhang, Kaisheng Tang, Wei Wei, Huabiao Shi, Rongyan College of Electrical Engineering Science and Shaanxi University Technology Xi'an Shaanxi 710021 China Zhejiang Wenzhou Research Institute of Light Industry ZheJiang 325003 China Department of Student Affairs Science and Shaanxi University Technology Xi'an Shaanxi 710021 China

ISBN: (纸本)9781424463688

The automatic identification system of car license plate is a kind of computer system which can extract the character information of a car license plate from a car image in terms of computer vision technique, image processing technique and pattern recognition technique, etc. It is one of the important parts of realizing traffic management intelligentization. An automatic identification system of car license plate based on imbedded computer system applicable for intelligent traffic field is studied in this paper. Some relative algorithms are proposed to realize the partition of the car license plate characters. This paper also illustrates the hardware and software of the imbedded computer system in detail used to car license plate. As one of the important parts of the intelligent traffic system, the car license plate identification technique has wide future application and theoretical significance with the combination to the developing imbedded computer system. © 2010 IEEE.

关键词： License plates (automobile)

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Proceedings - 14th International conference on image Analysis and processing, ICIAP 2007

Proceedings - 14th International Conference on Image Analysi...

引用

14th Edition of the International conference on image Analysis and processing, ICIAP 2007

ISBN: (纸本)0769528775

The proceedings contain 132 papers. The topics discussed include: dynamic score selection for fusion of multiple biometric matchers;integrating boundary information in pairwise segmentation;spectra generative models for graphs;facing imbalanced classes through aggregation of classifiers;learning repetitive patterns for classifying non-rigidly deforming texture surfaces;motion estimation via belief propagation;a method of clustering combination applied to satellite image analysis;calibration and image generation of mobile projector-camera systems;hybrid stereo sensor with omnidirectional vision capabilities: overview and calibration procedures;image spam filtering using visual information;localization of ahead vehicles with on-board stereo cameras;subspace reduction for appearance-based navigation of a mobile robot;and topology preserving arching cubes-like algorithms on the face-centered cubic grid.

关键词： Belief propagation

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Development of automated high-throughput phenotyping system for controlled environment studies

Development of automated high-throughput phenotyping system ...

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2017 ASABE Annual International Meeting

作者： Zhang, Chongyuan Pumphrey, Michael Zhou, Jianfeng Gao, Honghong Zhang, Qin Sankaran, Sindhuja Department of Biological Systems Engineering Washington State University PullmanWA99164 United States Department of Crop and Soil Sciences Washington State University PO Box 646420 PullmanWA99164 United States Department of Agricultural Systems Management University of Missouri ColumbiaMO65211 United States Xi'an Technological University Shaanxi China Center for Precision and Automated Agricultural Systems Department of Biological Systems Engineering Washington State University ProsserWA99350 United States

Plant breeding has significantly improved in recent years, however, phenotyping remains a bottleneck as the process is often expensive, subjective, and laborious. Although commercial phenotyping systems are available, factors like cost, space, and need for specific controlled environment limit the affordability of these commercial phenotyping systems. A low-cost, accurate, and high-throughput phenotyping (HTP) system is highly desirable to plant breeders, physiologists, and agronomists. To solve the problem, an automated system for HTP and image processing algorithms were developed and tested. The automated platform was an integration of an aluminum framework (including two stepper motors and control components), three cameras, and a laptop. A control program was developed using LabVIEW to manage the operation of platform and sensors together. image processing algorithms were developed in MATLAB for high-throughput analysis of images acquired by the system for estimating phenotypes/tr aits associated with tested plants. The phenotypes extracted were color, texture, temperature, morphology, and greenness features on a temporal scale. Using two wheat lines known with heat tolerance, the system was validated. Validation studies revealed that features such as green leaf area and green normalized difference vegetation index derived from our system showed differences between control and heat stress treatment, as well as between heat tolerant and susceptible wheat lines. This study demonstrated successful development and implementation of a low-cost automated system with custom algorithms for HTP. Improvement of such systems would further help plant breeders, physiologists, and agronomists to phenotype crops and accelerate plant breeding.

关键词： MATLAB

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MM-APS-SCENT: A Robust Parameter Estimation Enabled Target Transmitter Localization Framework

MM-APS-SCENT: A Robust Parameter Estimation Enabled Target T...

引用

2023 IEEE/CIC International conference on Communications in China, ICCC 2023

作者： Li, Xudong Fan, Ye Yao, Rugui Wang, Peng Zuo, xiaoya Wang, Jiayu xie, Yi Northwestern Polytechnical University School of Electronics and Information Xi'an China China Ship Development and Design Center Wuhan China Xi'an Shiyou University College of Computer Science Xi'an China

ISBN: (纸本)9798350345384

To achieve better localization accuracy in a complex electromagnetic environment with multiple modulated signals, in this paper, an end-to-end joint analysis framework is presented. This framework is target-transmitter-localization-oriented and apriori-signal-parameter-enabled. Specifically, on the one hand, given that the localization accuracy of existing algorithms is generally influenced by multiple factors such as calculated complexity, channel fading, and unavailable signal parameters in a complex electromagnetic environment, signal parameter estimation is considered and employed to overcome above difficulties for enhancement of the localization accuracy. To facilitate signal parameter estimation, mixed signals are transformed into a time-frequency image using smoothed-pseudo-Wigner-Vile distribution and image processing. On the other hand, based on the Min-Max algorithm and area partition strategy, an improved weighted centroid localization algorithm, MM-APS-SCENT, is proposed. For the MM-APS-SCENT algorithm, we further devise an area partition criterion to fulfill the superior localization accuracy. Finally, numerical results prove the correctness of theoretical analysis and show effectiveness, reliability, and robustness of the proposed MM-APS-SCENT algorithm compared with Min-Max, E-Min-Max, and weighted-cent algorithms. © 2023 IEEE.

关键词： Transmitters

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The Estimation of Inertial Measurement Units Accuracy Using Digital image processing algorithms

The Estimation of Inertial Measurement Units Accuracy Using ...

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2022 Wave Electronics and its Application in Information and Telecommunication systems, WECONF 2022

作者： Shmatko, E.V. Poroykov, A. Yu. National Research University Moscow Power Engineering Institute Department of Physics Named after V.A. Fabrikant Moscow Russia

ISBN: (纸本)9781665462402

The paper describes an approach for estimation of inertial measurement unit using image processing algorithm to determine the position of an object in space. The results of measurements of the angular velocities of a freely rotating platform using the inertial and photogrammetry methods are presented. The inertial method data contains the measurement results of a three-axis solid gyroscope. The photogrammetry method determines the position of the platform using digital video cameras based on images of fiducial markers installed on it. A comparison of the measurement results is presented, conclusions about the accuracy of the tested gyroscope are drawn. © 2022 IEEE.

关键词： Angular velocity

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TILED VIRTUAL MEMORY FOR UNIX

TILED VIRTUAL MEMORY FOR UNIX

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1992 SUMMER CONF OF USENIX ASSOC

作者： FRANKLIN, J Kodak Electronic Printing Systems United States

ISBN: (纸本)1880446448

Many computer applications require the manipulation of large data arrays. These applications can behave badly under a paged virtual memory (VM) system, due to poor memory access patterns. One solution to this problem is tiling, a technique in which the arrays are partitioned into sub-arrays that map one-to-one with VM pages. Software implementations of tiling have been described in the literature, but none provide the speed and application transparency of a hardware solution. We have implemented a hardware based, tiled VM within a version of the UNIX operating system. Based on a novel memory management unit and supporting kernel software, this tiled VM has proven to be an efficient environment for manipulating 2-dimensional arrays of data. In this paper we discuss the kernel changes required to implement our tiled VM. We then compare tiled and paged versions of our VM system, and show that tiling results in a 50-fold reduction in working set size for a common class of image processing algorithms. © USENIX Summer 1992. All rights reserved.

关键词： image processing

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