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Advances in image Transmission II 1980

作者： Algazi, V.R. Ford, G.E. Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California DavisCA95616 United States

The use of image quality measures in the design of processing algorithms and equipment is a difficult task. Realistic and useful images are complex and far from the threshold conditions under which psychophysical measurements and models are obtained. For a class of processing algorithms, the image distortion is actually proportional to the image contrast. For these algorithms it appears possible to determine a worst case image and to establish fairly simple quality criteria. The basic components of such a quality measure are discussed and examples of application given. © 1980 SPIE. All rights reserved.

关键词： image quality

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Clustering analysis of multidimensional fuzzy sets using mathematical morphology

Clustering analysis of multidimensional fuzzy sets using mat...

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Neural and Fuzzy Systems: The Emerging Science of Intelligent Computing 1994

作者： Kher, Alok Mitra, Sunanda Computer Vision and Image Analysis Laboratory Department of Electrical Engineering Texas Tech University LubbockTX79409 United States

The tools of mathematical morphology originally developed for image analysis can be generalized for structural analysis of the general class of multidimensional fuzzy data sets. In this chapter we discuss morphological tools useful for clustering analysis of fuzzy sets. Morphological techniques can perform cluster segmentations that are stable with respect to relative scale changes of the axes of the multidimensional space. We briefly explain a few simple approaches to convert data sets from continuous spaces to discrete spaces where the morphological algorithms can be applied. Morphological filters can be designed to eliminate noise which can cause large clusters to split into smaller clusters. Connectivity preserving filters can play an important role in removing noise while preserving important features of the data set which may be vulnerable to filtering processes. Morphological tools can segment complex data sets such as those consisting of shell type of clusters. We have reviewed several morphological algorithms useful for clustering of binary and fuzzy data sets. © 2017 SPIE.

关键词： Mathematical morphology

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Digital processing of color images

Digital processing of color images

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Human vision, Visual processing, and Digital Display 1989

作者： Mitra, Sanjit K. Zarrinnaal, Iraj Wang, Yao Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States

Digital processing of black and white images has received most attention during the last 25 years, and has led to various algorithms for the enhancement, smoothing, and zooming of images. Due to the decreasing cost and increasing availability of color image acquisition and display equipment along with the computing systems of higher performance, it is expected that the digital processing of color images will rapidly grow in demand. In this paper we review our experiences with the processing of color images. In particular, algorithms for the contrast enhancement, smoothing and zooming of color images are investigated. The effects of applying these methods in color coordinates other than RGB are examined and considerations with respect to performance, time efficiency and compatibility with some popular algorithms developed for monochrome images are discussed. © 1989 SPIE. All rights reserved.

关键词： Color

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A new adaptive image contrast enhancement method

A new adaptive image contrast enhancement method

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image and Video processing 1993

作者： Yu, Tian-Hu Mitra, S.K. Department of Electrical and Computer Engineering Signal and Image Processing Laboratory University of California Santa BarbaraCA93106 United States

In direct methods of contrast enhancement, a contrast measure is first defined, which is then modified by a mapping function to generate the pixel value of the enhanced image. Various mapping functions such as the square root function, the exponential function, etc., have been introduced for the contrast measure modification. However, these functions do not produce satisfactory contrast enhancement results and are usually sensitive to noise and digitization effects. In addition, they are computationally complex from the point of view of implementation. In this paper, we propose a simple polynomial mapping function for the contrast measure modification. The polynomial function is easy to implement on digital computers and provides very satisfactary contrast enhancement. We also introduce an adaptive clipping technique to control the dynamic range of the output image. © 1993 SPIE. All rights reserved.

关键词： Exponential functions

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Ground truth data collection for unmixing algorithm evaluation

Ground truth data collection for unmixing algorithm evaluati...

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Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral imagery XIV

作者： Rivera-Borrero, Carlos Rosario, Samuel Hunt, Shawn Zayas, Carmen Mundorf, Adrienne Cardona, Suhaily Laboratory for Applied Remote Sensing and Image Processing Electrical and Computer Engineering Department University of Puerto Rico Mayagüez Campus

ISBN: (纸本)9780819471574

This paper presents a ground truth data collection effort along with its use in evaluating unmixing algorithms. Unmixing algorithms are typically evaluated using synthetic data generated by selecting endmember spectrums and adding them in different amounts and with added noise. Going from synthetic to real data poses many problems. One of the greatest is the amount of data to be collected. Also, there will be many unmodeled variations in real data. These include greater variation of the endmembers, additional endmembers that are a very small percentage of the image, and nonlinear effects in the data that are not modeled. The data collation effort produced a high resolution class map along with spectral measurements of 153 different sampling sites to validate the map. The methodology for using this high resolution class map for generating the ground truth data for use in the unmixing algorithms is presented. Specifically, a 1m class map is used to generate the endmember abundances for every pixel in a 30m Hyperion image of the Enrique Reef in Southwest Puerto Rico. The results using two unmixing algorithms, one with a sum to one constraint and the other with a non-negative constraint are presented. The unmixing results for each endmember are presented along with a newly developed unmixing parameter called the Correct Unmixing Index (CUI).

关键词： Data acquisition

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A PIPELINED RECURSIVE RESIDUE NUMBER SYSTEM DIGITAL-FILTER

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS 1984年第4期31卷 415-417页

作者： SODERSTRAND, MA SINHA, B Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California Davis CA USA IBM Corporation Boca Raton FL USA University of California Davis CA USA

The well-known advantages of pipelining as applied to Finite Impulse Response (FIR) Residue Number System (RNS) arithmetic digital filters is extended to the important area of Infinite Impulse Response (IIR) digital filters through a new technique based on augmentation of the IIR transfer function. Through this technique, pipelined IIR filters based on RNS Read-Only-Memory (ROM) table look-up techniques can be designed which offer throughput rates equal to the table look-up time of the ROM's. This high-speed realization can be achieved even though the recursive filter algorithm requires multiple delays in realizing the output of the filter. For the example of a typical second-order IIR filter, the pipelined structure represents a five-fold increase in speed over standard techniques. Higher order realizations will yield proportionately higher speed improvements. Although the new technique does increase somewhat the hardware complexity of the filter, the increase in speed will often justify the additional hardware. The paper discusses the basic technique, stability considerations, and hardware realizations.

关键词： Digital filters IIR filters Finite impulse response filter Hardware Read only memory Pipeline processing Digital arithmetic Transfer functions Throughput Delay

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Velocity tuned generalized Sobel operators for multiresolution computation of optical flow

Velocity tuned generalized Sobel operators for multiresoluti...

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The 1994 1st IEEE International Conference on image processing

作者： Gökstorp, M. Danielsson, P.-E. Image Processing Laboratory Computer Engineering Division Department of Electrical Engineering Linköping University LinköpingS-581 83 Sweden

Optical flow computation may be divided into four processing steps where the first is extraction of image features suitable for flow estimation. Using a generalization of the basic flow constraint it is possible to estimate flow vectors from a set of feature images obtained from the input image sequence. Generalized Sobel operators provide a suitable set of feature extraction operators. The set of five filters up to second order provides good approximations of ideal edge and line detectors. A review of spatial and frequency constraints on optical flow suggests a multiresolution approach to optical flow where the initial feature extractors consists of velocity tuned operators. We show that two-dimensional generalized Sobel operators may be extended to spatio-temporal velocity tuned filters for optical flow estimation. Experimental results compare well to existing methods. © 1994 IEEE.

关键词： Optical flows

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Adaptive control of redundant multilink robot using fussy logic

Adaptive control of redundant multilink robot using fussy lo...

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Applications of Fuzzy Logic Technology 1993

作者： Su, Xiongmin Mitra, Sunanda Computer Vision and Image Analysis Laboratory Department of Electrical Engineering Texas Tech University LubbockTX79409-3102 United States

The kinematics model of multilink robot manipulator involves solution of the inverse problem. The use of fuzzy logic based linguistic rules demonstrates superior performance over classical, computationally intensive and yet approximate solutions for the target position control and tracking control of multilink robot arm. A new approach to fuzzy distance and restriction measures is used to obtain the appropriate orientations of the links for avoiding obstacles in the robot trajectories. This approach eliminates the classical task of solving highly coupled, nonlinear equations describing the illposed inverse problems of multilink robot motion at a much less demanding computational time. Such clear advantage of fuzzy logic based adaptive controller are illustrated by simulation results of guidance of a multilink robot in target positioning and trajectories tracking. The simulation results involve a threelink robot arm with capability of moving from one position to any desired position and tracking defined trajectories accurately. A modified fuzzy rule based distance measure allows the robot to follow trajectories without hitting the obstacles in the path. The simulation results indicate the advantage of fuzzy logic based adaptive controllers in multiple criteria decision-making tasks. © 1993 SPIE. All rights reserved.

关键词： Trajectories

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Three-dimensional optical remote sensing using optical scanning holography

Three-dimensional optical remote sensing using optical scann...

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Current Research on image processing for 3D Information Displays

作者： Poon, Ting-Chung Optical Image Processing Laboratory Bradley Department of Electrical and Computer Engineering Virginia Tech. Blacksburg VA 24061 United States

No abstract available

ISBN: (纸本)0819458066

No abstract available

关键词： optical heterodyning depth detection optical scanning holography optical remote sensing optical remote sensing Optical scanning Optical heterodyning Holography Targets

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Multi-objective Optimal Operation of Centralized Battery Swap Charging System with Photovoltaic

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Journal of Modern Power Systems and Clean Energy 2022年第1期10卷 149-162页

作者： Yuanzheng Li Yihan Cai Tianyang Zhao Yun Liu Jian Wang Lei Wu Yong Zhao School of Artificial Intelligence and Automation Ministry of Education Key Laboratory of Image Processing and Intelligence ControlHuazhong University of Science and TechnologyWuhanChina School of Electrical and Electronic Engineering Nanyang Technological UniversitySingaporeSingapore College of Mechatronics and Control Engineering Shenzhen UniversityShenzhenChina Department of Electrical&Computer Engineering Stevens Institute of TechnologyHobokenUSA

Electric vehicles(EVs)are widely deployed throughout the world,and photovoltaic(PV)charging stations have emerged for satisfying the charging demands of EV *** paper proposes a multi-objective optimal operation method for the centralized battery swap charging system(CBSCS),in order to enhance the economic efficiency while reducing its adverse effects on power *** proposed method involves a multi-objective optimization scheduling model,which minimizes the total operation cost and smoothes load fluctuations,***,we modify a recently proposed multi-objective optimization algorithm of non-sorting genetic algorithm III(NSGA-III)for solving this scheduling ***,simulation studies verify the effectiveness of the proposed multi-objective operation method.

关键词： Multi-objective optimization electric vehicle battery swap charging system scheduling photovoltaic

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