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4th International conference on image processing and Scanning of Wood

作者： Sarigul, E Abbott, AL Schmoldt, DL Virginia Tech Bradley Dept Elect & Comp Engn Blacksburg VA 24061 USA Univ Wisconsin USDA US Forest Serv Dept Biol Syst Engn Madison WI 53706 USA

This paper deals with automated detection and identification of internal defects in hardwood logs using computed tomography (CT) images. We have developed a system that employs artificial neural networks (ANNs) to perform tentative classification of logs on a pixel-by-pixel basis. This approach achieves a high level of classification accuracy for several hardwood species (northern red oak, Quercus rubra, L., water oak, Q. nigra, L., yellow poplar, Liriodendron tulipifera, L., and black cherry, Prunus serotina, Ehrh.), and three common defect types (knots, splits, and decay). Although the results are very satisfactory statistically, a subjective examination reveals situations that could be refined in a subsequent post-processing step. We are currently developing a rule-based, contextual approach to region refinement that augments the initial emphasis on local information. The resulting rules are domain dependent, utilizing information that depends on region shape and type of defect. For example splits tend to be long and narrow, and this knowledge can be used to merge smaller, disjoint regions that have tentatively been labeled as splits. Similarly, image regions that represent knots, decay, and clear wood can be refined by removing small, spurious regions and by smoothing the boundaries of these regions. Mathematical morphology operators can be used for most of these tasks. This paper provides details concerning the domain-dependent rules by which morphology operators are chosen, and for merging results from different operations. (C) 2003 Elsevier Science B.v. All rights reserved.

关键词： rule-based analysis morphological image processing defect detection wood processing

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visual Gesture Recognition for Human-Machine Interface of Robot Teleoperation

Visual Gesture Recognition for Human-Machine Interface of Ro...

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2003 IEEE/RSJ International conference on Intelligent Robots and Systems

作者： Hu, Chao Meng, Max Qinghu Liu, Peter Xiaoping Wang, Xiang Dept. of Electrical Engineering University of Alberta Edmonton Alta. T6G 2V4 Canada Department of Systems Engineering Carleton University Ottawa Ont. K1S 5B6 Canada

This paper presents a new visual gesture recognition method for the human-machine interface of mobile robot teleoperation. The interface uses seven static hand gestures, each of which represents an individual control command for the motion control of the remote robot. All the important aspects to develop such a interface are explored, including image acquisition, adaptive object segmentation with color image in RGB, HLS representation, morphological filtering, hand finding and labeling, and recognition with edge codes, template matching, and skeletonizing. By choosing processing methods and procedures properly, a higher ratio of correct recognition and a faster speed are achieved from the experiments.

关键词： Gesture recognition

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Medical image segmentation using openings and closings with reconstruction criteria

Medical image segmentation using openings and closings with ...

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IEEE International conference on image processing

作者： D. vargas-vazquez J. Crespo v. Maojo I.R. Terol-villalobos Facultad de Informática Universidad Politécnica de Madrid Boadilla del Monte Spain CIDETEQ SC Parque Tecnologico Querétaro Queretaro Mexico

In this paper, we use a type of morphological filters, the openings and closings with reconstruction criteria, for image segmentation purposes. Those filters are a class of extended levelings, and they present interesting features for image processing and analysis. These transformations include a criterion that allow us to control the reconstruction process, and they can avoid some of the undesirable effects shown by the classical openings and closings by reconstruction in some situations. In particular, we can limit the excessive flat zones reconstruction that sometimes arises. In addition, we can separate, if desired, certain regions in images. We use these two effects in image segmentation. Among others we use morphological techniques to segment an input image, and we take advantage of the desirable properties of those filters to compute markers or significant regions. We will focus in this work especially on medical images applications.

关键词： Biomedical imaging image segmentation image reconstruction Filters image processing image analysis Process control Lakes Focusing Morphology

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Nonlinear color image filtering by color to planar shape mapping

Nonlinear color image filtering by color to planar shape map...

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IEEE International conference on image processing

作者： C. vertan M. Zamfir E. Zaharescu v. Buzuloiu C. Fernandez-Maloigne Image Processing and Analysis Laboratory Politehnica University of Bucharest Romania RCOM-SIC University of Poitiers France Ovidius University of Constantza Romania

Nonlinear rank-order-based filtering of color images is difficult to implement; the multivariate nature of colors does not allow the introduction of a mathematically-correct and topology-preserving ordering relation. The most widely investigated approach is based on the use of reduced ordering relations introduced according to different scalars. We propose pseudo-morphologic and median operators based on reduced ordering of colors, with respect to scalars computed as geometrical shape invariants of a triangle representation of colors. The same color representation allows the introduction of a luminance invariant intercolor distance, used with good results in distance-based color filters.

关键词： Filtering Shape Filters image color analysis image processing image analysis Laboratories Statistics morphological operations Sorting

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Expert and machine discrimination of marine flora: a comparison of recognition accuracy of field-collected phytoplankton

Expert and machine discrimination of marine flora: a compari...

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2003 International conference on visual Information Engineering vIE 2003

作者： P.F. Culverhouse R. Williams B. Reguera v. Herryl S. Gonzalez-Gil University of Plymouth Plymouth UK Plymouth Marine Laboratory Plymouth UK Instituto Español de Oceanografía Vigo Spain

The categorisation of labelling of phytoplankton specimens is carried out manually using microscopes by marine ecologists and taxonomists. Research to automate the task has been on going for many years. Although many systems have been shown to work in small-scale laboratory conditions with cultured populations, few have succeeded when applied to field collected specimens. The reasons are diverse, but are principally due to severely degraded performance of the chosen processing algorithms in the presence of noise and natural morphological variability of the organisms. The application of statistical and neural network pattern learning methods have allowed progress to be made in this difficult area. The machine learning system DiCANN was trained on 128 of the 310 image data set and tested on the 182 samples. This study has highlighted the difficulties facing human ecologists and has shown that automation methods can perform as well as humans on complex categorisations.

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Recent advances in scientific computing and partial differential equations : international conferenc

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2003年

作者： S.Y. Cheng C.-W. Shu T. Tang editors.

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Theory and application of triplet-valued wavelets

Theory and application of triplet-valued wavelets

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conference on Wavelet and Independent Component Analysis Applications IX

作者： Labounets, v Maidan, A Labounets-Rundblad, E Astola, J Tampere Univ Technol Tampere Int Ctr Signal Proc FIN-33101 Tampere Finland

ISBN: (纸本)081944488X

Colour image processing is investigated in this paper using an algebraic approach based on triplet numbers. In the algebraic approach, each image element is considered not as a 3D vector, but as a triplet number. The main goal of the paper is to show that triplet algebra can be used to solve colour image processing problems in a natural and effective manner. In this work we propose novel methods for wavelet transforms implementation in colour triplet-valued space.

关键词： Wavelets Wavelet transforms RGB color model Color image processing 3D image processing Colorimetry Matrix multiplication Fourier transforms Information operations Cones

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morphological processor for real-time image applications

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MICROELECTRONICS JOURNAL 2002年第12期33卷 1115-1122页

作者： González, F Tubío, O Tobajas, F De Armas, v Esper-Chaín, R Sarmiento, R Univ Las Palmas de Gran Canaria Res Inst Appl Microelect E-35017 Las Palmas Gran Canaria Spain

Mathematical morphology (MM) appears as a theory that can solve some drawbacks of the classical lineal image processing. Linear filters generate a spatial distortion from initial image, what gives as result that specific algorithms are usually needed for each process with a complexity that cannot be implemented in vLSI systems for real time image processing. MM overcome the inherent drawbacks of the linear processing based on the comparison of an initial image with some well-known geometric figures. In this paper we present the implementation of a specific processor that computes MM basic operations. Using a clock frequency of 250 MHz this processor is able to handle real time 512 X 512 pixels video images. MM allows non-linear processing of images and it is based on dilation and erosion operations using a geometric figure called structural element (SE). More complex image processing can be performed using these two basic operations. In this implementation the SE of 3 X 3 pixels was chosen. 0.6 mum HGaAs standard cells technology, from vitesse Semiconductor Corporation, has been used achieving a logic level gate description with the possibility of migration to another technologies. (C) 2002 Elsevier Science Ltd. All rights reserved.

关键词： mathematical morphology image processing real time high-speed adders GaAs

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Mathematical morphology approaches for fingerprints thinning

Mathematical morphology approaches for fingerprints thinning

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36th Annual International Carnahan conference on Security Technology

作者： Espinosa-Duró, v Univ Politecn Catalunya EUPMt Elect & Automat Dept Mataro 08303 BCN Spain

ISBN: (纸本)0780374363

Our paper describes the design and implementation of a fingerprint thinning algorithm by means of morphological image processing operations in order to improve the minutiae map involved. The final goal will aim to incorporate the thinning algorithm proposed with the minutiae extraction algorithm for fingerprint identification systems, developed and presented at IEEE ICCST'01 [1].

关键词： mathematical morphology non-linear image processing fingerprint recognition

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morphological processor for real-time image applications

Morphological processor for real-time image applications

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conference on Electronics andStructures for MEMS

作者： González, F Tubío, O Tobajas, F De Armas, v Esper-Chaín, R Sarmiento, R Univ Las Palmas de Gran Canaria Res Inst Appl Microelect E-35017 Las Palmas Gran Canaria Spain

关键词： mathematical morphology image processing real time high-speed adders GaAs

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