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image processing for the non-destructive characterization of porous media. Application to limestones and trabecular bones

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MATHEMATICS AND COMPUTERS IN SIMULATION 2014年 99卷 82-94页

作者： Almhdie, Ahmad Rozenbaum, Olivier Lespessailles, Eric Jennane, Rachid Univ Orleans ISTO UMR 7327 F-45071 Orleans France Univ Orleans Hosp Orleans Lab I3MTO EA 4708 F-45032 Orleans France Univ Orleans PRISME Lab EA 4229 F-45067 Orleans France

Different image processing techniques have recently been investigated for the characterization of complex porous media, such as bones, stones and soils. Among these techniques, 3D thinning algorithms are generally used to extract a one-voxel-thick skeleton from 3D porous objects while preserving the topological information. Models based on simplified skeletons have been shown to be efficient in retrieving morphological information from large scale disordered objects not only at a global level but also at a local level. In this paper, we present a series of 3D skeleton-based image processing techniques for evaluating the micro-architecture of large scale disordered porous media. The proposed skeleton method combines curve and surface thinning methods with the help of an enhanced shape classification algorithm. Results on two different porous objects demonstrate the ability of the proposed method to provide significant topological and morphological information. (C) 2013 IMACS. Published by Elsevier B.v. All rights reserved.

关键词： Segmentation Skeleton Classification Topological and morphological information Porous media

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A NEW 3D PARADIGM FOR METAL ARTIFACT REDUCTION IN DENTAL CT

A NEW 3D PARADIGM FOR METAL ARTIFACT REDUCTION IN DENTAL CT

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18th IEEE International conference on image processing (ICIP)

作者： Naranjo, v. Llorens, R. Alcaniz, M. verdu-Monedero, R. Larrey-Ruiz, J. Morales-Sanchez, J. Univ Politecn Valencia I3BH E-46071 Valencia Spain Univ Politecn Cartagena Cartagena Spain

ISBN: (纸本)9781457713033

The presence of metal artifacts in dental CT prevents the correct exploration and planning of dental interventions. This paper addresses a new paradigm in metal artifact reduction that uses the backprojected data available in the DICOM files. The method, based on variational image registration and morphological lambda reconstruction, enhances the image quality using not only the information of the artifacted image (horizontal approach) but also the information of adjoining images (vertical approach). Some preliminary results involving different CT scanners and patients are presented and discussed.

关键词： Metal artifact reduction dental CT variational image registration morphological lambda reconstruction

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Surface characterization and adsorption abilities of cellulose fibers

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POLYMER ENGINEERING AND SCIENCE 1999年第8期39卷 1412-1424页

作者： Stana-Kleinschek, K Strnad, S Ribitsch, v Univ Maribor Inst Textile Chem SLO-2000 Maribor Slovenia Karl Franzens Univ Graz Inst Phys Chem A-8010 Graz Austria

The adsorption abilities of cotton cellulose fibers are very often modified by alkaline treatments in form of alkaline purification or mercerization using high concentration of NaOH. We tried to determine the correlation between morphological modifications and the adsorption abilities of cotton fibers using several methods: the analysis of microscope images of fibers by image processing and the analysis of the electrokinetic surface properties which express the adsorption behavior of fibers. The longitudinal images and cross-sections of native and modified cotton fibers were analyzed and the parameters: form factor, wall thickness, cross-section area, fiber diameter, lumen area were calculated using image processing. The adsorption behavior of native and NaOH modified polymers was investigated by the determination of electrokinetic properties. The zeta potential (zeta) was calculated from streaming potential measurements as a function of pH and surfactant concentration in the Liquid phase. The results indicate that only a correct combination between the morphological modifications and electrokinetic behavior of fibers leads to a desirable adsorption mechanism which causes a specific adsorption of components of the liquid phase.

关键词： Plastic filaments

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Textured images segmentation by a multiresolution morphological decomposition method 8

Textured images segmentation by a multiresolution morphologi...

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8th European Signal processing conference, EUSIPCO 1996

作者： Ploix, A. Chen, v. Leclere, P. Roussel, M. LAM Equipe de Troyes LTI IUT de TROYES BP 396 TROYES CEDEX10026 France

This contribution deals with the textured images segmentation. The model exploits morphological operators and order filters properties. A morphological decomposition filters bank is built to isolate elementary patterns by decomposing the textural image characteristics. The 1 and 2 order statistic moments and the gradient means are computed in order to select the best feature component image which allows to perform the image segmentation. The method is illustrated by a real image randomly textured. © 2015 European Signal processing conference, EUSIPCO. All rights reserved.

关键词： image segmentation

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Tiling and demand driven evaluation for picture processing

Tiling and demand driven evaluation for picture processing

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conference on Neural, morphological, and Stochastic Methods in image and Signal processing

作者： HORAIN, P DOGARU, v ECOLE NATL SUPER TELECOMMUN BRETAGNE DEPT IMAGESF-75634 PARIS 13FRANCE

ISBN: (纸本)0819419273

We propose a software architecture for picture processing that allows efficient memory management when algorithms with many operators are applied to large images, and that allows automated parallelization. This architecture relies on image tiling and operators with a call back function that evaluates image tiles on demand. Several tiling strategies with and without overlapping are discussed. The compexity of this evaluation strategy is hidden to application programs. This is shown with a sample program. This architecture is well suited for neighborhood operators such as convolutions and mathematical morphology operators.

关键词： DEMAND DRIvEN EvALUATION TILING MEMORY MANAGEMENT PARALLELISM image processing

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Kernel computation in morphological associative memories for grayscale image recollection

Kernel computation in morphological associative memories for...

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Proceedings of the Fifth IASTED International conference on Signal and image processing

作者： Urcid, Gonzalo Ritter, Gerhard X. Optics Department INAOE Tonantzintla Pue. 72000 Mexico CISE Department University of Florida Gainesville FL 32611 United States

ISBN: (纸本)0889863784

morphological associative memories (MAMs) form a subclass of morphological neural networks. Storage and recall in MAMs is realized using the matrix numerical operations of minimax algebra in a similar fashion as the classic correlation encoding technique. The kernel method, based upon strong morphological independence of the exemplar pattern set, allows to combine two MAMs for enhancing the recall capability when dealing with non-boolean patterns corrupted by random uniform noise. This paper describes a new procedure for assigning a kernel to any set of exemplar patterns that are restricted to have non-negative entries over a finite set of values. Thus, our attention is focused to the specific case of grayscale images and we show, by means of illustrative examples, the recollection capability of the kernel based morphological associative memory scheme including a probabilistic model for its performance.

关键词： Neural networks

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Brain Tumor Detection using image Segmentation Techniques 7

Brain Tumor Detection using Image Segmentation Techniques

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7th IEEE International conference on Communication and Signal processing (IEEE ICCSP)

作者： Reddy, Digvijay Dheeraj Kiran Bhavana, v Krishnappa, H. K. Amrita Vishwa Vidyapeetham Dept Elect & Commun Engn Amrita Sch Engn Bengaluru India RV Coll Engn Dept Comp Sci & Engn Bengaluru India

ISBN: (纸本)9781538635216

Brain Tumor is the unconstrained growth of bizarre cells in brain. In this work, dicom Magnetic Resonance image (MRI) is taken as an input and tried to extract tumor cells from the input image. Pre-processing technique is used to remove noise from image. To this image, k-means clustering is applied and from this clustered image, skull was removed using morphological operations to identify tumor cells easily. Finally, image thresholding is applied to this image followed by levelset segmentation to extract tumor cells. Performance matrices like true positive (TP), true negative (TN), false positive (FP), false negative (FN), precision and recall to measure the accuracy of our results, is also evaluated.

关键词： Brain tumor detection K-means clustering Levelset segmentation MRI morphological operation

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Synthesis and applications of lattice image operators based on fuzzy norms

Synthesis and applications of lattice image operators based ...

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International conference on image processing (ICIP 2001)

作者： Maragos, P Tzouvaras, v Stamou, G Natl Tech Univ Athens Dept Elect & Comp Engn GR-15773 Athens Greece

ISBN: (纸本)0780367251

In this paper we use concepts from the lattice-based theory of morphological operators and fuzzy sets to develop generalized lattice image operators that can be expressed as nonlinear convolutions that are suprema or infima of fuzzy intersection or union norms. Our emphasis (and differences with previous works) is the construction of pairs of fuzzy dilation and erosion operators that form lattice adjunctions. This guarantees that their composition will be a valid algebraic opening or closing. The power but also the difficulty in applying these fuzzy operators to image analysis is the large variety of fuzzy norms and the absence of systematic ways in selecting them. Towards this goal, we have performed extensive experiments in applying these fuzzy operators to various nonlinear filtering and image analysis tasks, attempting first to understand the effect that the type of fuzzy norm and the shape-size of structuring function have on the resulting new image operators. Further, we have developed some new fuzzy edge gradients and optimized their usage for edge detection on test problems via a parametric fuzzy norm.

关键词： image analysis

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A functional vMOS circuit for implementing cellular-automaton picture-processing devices

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COMPUTERS & ELECTRICAL ENGINEERING 1997年第6期23卷 439-451页

作者： Ikebe, M Akazawa, M Amemiya, Y Hokkaido Univ Fac Engn Sapporo Hokkaido 060 Japan

This paper proposes a design of cell circuits for implementing cellular-automaton devices that perform morphological picture processing. To produce the complex cell functions required for the morphological processing, we present the idea of using the silicon functional device, v-MOS FET. We designed sample cell circuits for several morphological processings, and simulated their operation to show the expected cell operation. We also designed a sample cellular-automaton circuit using the proposed cell circuits, and demonstrated in simulation its example processing (noise cleaning and edge extraction in an image). A low dissipation of about 20 mu W per cell circuit can be expected at 1 MHz operation;therefore, 10(5) or more cells that operate in parallel can be integrated into an LSI. (C) 1998 Elsevier Science Ltd. All rights reserved.

关键词： cellular automaton picture processing v-MOS FET

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A Realistic Medical image Segmentation of Abnormal HIv in Blood Cells Using morphological Operations

A Realistic Medical Image Segmentation of Abnormal HIV in Bl...

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International conference on Inventive Computation Technologies (ICICT)

作者： Mageshwari, v. Aroquiaraj, I. Laurence Dharani, T. Periyar Univ Dept Comp Sci Salem 636011 Tamil Nadu India

ISBN: (纸本)9781509012855

images are soft copies of real world objects. image can be represented in the area of digital processing, which can be said as another reproduction of an object. Basically Segmentation is one of the processes of partitioning a digital image into multiple regions and extracting meaningful regions for the future image analysis. The prime objective of this research work is to segment the abnormal HIv cells in blood using morphological operations. The boundary region of the HIv cells in blood is detected and segmented using different morphological operations. Finally image Quality Assessment(IQA) has been carried out using various evaluation measures.

关键词： Cell Segmentation morphological Operations PSNR MD NAE NK AD

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