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检索条件"主题词=Image processing algorithms and systems"

共 335 条记录，以下是221-230 订阅

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AUTOMATED GRADING OF VENOUS BEADING - AN ALGORITHM AND PARALLEL IMPLEMENTATION

AUTOMATED GRADING OF VENOUS BEADING - AN ALGORITHM AND PARAL...

引用

CONF ON VISUAL COMMUNICATIONS AND image processing : image processing

作者： SHEN, Z GREGSON, PH CHENG, HD KOZOUSEK, V Technical Univ. of Nova Scotia (Canada) Dalhousie Univ. (Canada)

ISBN: (纸本)0819407437

A consistent, reliable method of quantifying diabetic retinopathy is required, both for patient assessment and eventually for use in screening tests for diabetes. To this end, an algorithm for determining the degree of venous beading in digitized ocular fundus images has been developed. A parallel implementation of the algorithm has also been investigated. The algorithm thresholds the fundus image to extract vein silhouettes. Morphological closing is used to fill any anomolous holes. Thinning is used to determine vein centerlines. Vein diameters are measured normal to the centerlines. A frequency analysis of vein diameter with distance along the centerline is then performed to permit estimation of veinous beading. For the parallel implementation, the binary vein silhouette and the vein centerline are rotated so that vein diameter may be estimated in one direction only. The time complexity of the parallel algorithm is O(N). Algorithm performance is demonstrated with real fundus images. A simulation of the parallel algorithm is used with actual fundus images.

关键词： Veins image processing image segmentation Algorithm development Detection and tracking algorithms Visual communications image resolution Fourier transforms image processing algorithms and systems Quantization

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CORNER DETECTION FOR CHAIN CODED CURVES

CORNER DETECTION FOR CHAIN CODED CURVES

引用

CONF ON VISION GEOMETRY

作者： KOPLOWITZ, J PLANTE, S Clarkson Univ. (United States) TRW Inc. (United States)

ISBN: (纸本)0819410330

A corner detection scheme for chain coded curves is proposed that significantly improves on the performance of current algorithms. The proposed scheme measures the number of links to either side of a point that can produce the largest digital straight line. That value is used as an indication of curvature at that point with very high curvature being indicative of a corner. A modification of the proposed algorithm can further reduce the false detection rate with virtually no affect on the number of corners missed by omitting certain patterns that can arise from contours with arbitrarily small curvature.

关键词： Corner detection Detection and tracking algorithms image segmentation Vision geometry Algorithm development Composites Digital imaging Electrochemical etching image processing algorithms and systems Sensors

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Accuracy of patient specific organ-dose estimates obtained using an automated image segmentation algorithm

Accuracy of patient specific organ-dose estimates obtained u...

引用

Conference on Medical Imaging - Physics of Medical Imaging

作者： Schmidt, Taly Gilat Wang, Adam Coradi, Thomas Haas, Benjamin Star-Lack, Josh Marquette Univ Dept Biomed Engn Milwaukee WI 53233 USA Varian Med Syst Palo Alto CA USA

ISBN: (纸本)9781510600188

The overall goal of this work is to develop a rapid, accurate and fully automated software tool to estimate patient-specific organ doses from computed tomography (CT) scans using a deterministic Boltzmann Transport Equation solver and automated CT segmentation algorithms. This work quantified the accuracy of organ dose estimates obtained by an automated segmentation algorithm. The investigated algorithm uses a combination of feature-based and atlas-based methods. A multi atlas approach was also investigated. We hypothesize that the autosegmentation algorithm is sufficiently accurate to provide organ dose estimates since random errors at the organ boundaries will average out when computing the total organ dose. To test this hypothesis, twenty head-neck CT scans were expertly segmented into nine regions. A leave-one-out validation study was performed, where every case was automatically segmented with each of the remaining cases used as the expert atlas, resulting in nineteen automated segmentations for each of the twenty datasets. The segmented regions were applied to gold-standard Monte Carlo dose maps to estimate mean and peak organ doses. The results demonstrated that the fully automated segmentation algorithm estimated the mean organ dose to within 10% of the expert segmentation for regions other than the spinal canal, with median error for each organ region below 2%. In the spinal canal region, the median error was 7% across all data sets and atlases, with a maximum error of 20%. The error in peak organ dose was below 10% for all regions, with a median error below 4% for all organ regions. The multiple-case atlas reduced the variation in the dose estimates and additional improvements may be possible with more robust multi-atlas approaches. Overall, the results support potential feasibility of an automated segmentation algorithm to provide accurate organ dose estimates.

关键词： image segmentation Computed tomography Monte Carlo methods Algorithm development image processing algorithms and systems Ions Lung Brain Radiation dosimetry Software development

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STABILITY ANALYSIS OF MULTICHANNEL LINEAR PREDICTIVE systems

STABILITY ANALYSIS OF MULTICHANNEL LINEAR PREDICTIVE SYSTEMS

引用

CONF ON VISUAL COMMUNICATIONS AND image processing 90

作者： OZTURK, Y ABUT, H Ege Univ. Izmir (Turkey) and San Diego State Univ. (United States) San Diego State Univ. (United States)

ISBN: (纸本)0819404217

In this study we have attempted to investigate the stability problems observed in multichannel multidimensional linear predictive modeling of images. Morf et al.[3] have shown that based on a positive definite autocorrelation matrix, singular values of the matrix H ? ?q + ***(?q + 1) must lie inside the unit circle for a stable solution, where ?q + 1 is the normalized partial correlation matrix and HERM(.) denotes the Hermitian operator. We have employed this stability method to modify the multichannel Levinson algorithm [1,2] for obtaining stable linear prediction coefficients. Since the procedure involved block-by-block processing of image intensity values, blocks of 32x32 pixels were defined as analysis windows. A two-step stabilization method has been developed for these windows and it is applied to the multichannel multidimensional linear prediction of monochromatic imagery. The first step is based on heuristic notions and employed for obtaining strictly positive definite multichannel autocorrelation matrices R[q]. The second step is based on forcing singular values of H to reside inside the unit circle for satisfying the stability criterion reported in [3].

关键词： Matrices image processing Visual communications Signal to noise ratio image segmentation image analysis image compression image processing algorithms and systems systems modeling Visual process modeling

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Spotting words in handwritten Arabic documents

Spotting words in handwritten Arabic documents

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Conference on Document Recognition and Retrieval XIII

作者： Srihari, Sargur Srinivasan, Harish Babu, Pavithra Bhole, Chetan SUNY Buffalo Univ Buffalo Ctr Excellence Document Anal & Recognit CEDAR Amherst NY 14228 USA

ISBN: (纸本)0819461075

The design and performance of a system for spotting handwritten Arabic words in scanned document images is presented. Three main components of the system are a word segmenter, a shape based matcher far words and a search interface. The user types in a query in English within a search window, the system finds the equivalent Arabic word, e.g., by dictionary look-up, locates word images in an indexed (segmented) set of documents. A two-step approach is employed in performing the search: (1) prototype selection: the query is used to obtain a set of handwritten samples of that word from a known set of writers (these are the prototypes), and (2) word matching: the prototypes are used to spot each occurrence of those words in the indexed document database. A ranking is performed on, the entire set of test word images- where the ranking criterion is a similarity score between each prototype word and the candidate words based on global word shape features. A database of 20, 000 word images contained in 100 scanned handwritten Arabic documents written by 10 different writers was used to study retrieval performance. Using five Writers for Providing prototypes and the other five for testing.. using manually segmented documents,. 55% precision is obtained at 50% recall. Performance increases as more writers are used for training.

关键词： image segmentation Prototyping Databases Binary data Human-machine interfaces image retrieval Neural networks image processing image processing algorithms and systems Associative arrays

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DOCUMENT SKEW ANGLE DETECTION ALGORITHM 2

DOCUMENT SKEW ANGLE DETECTION ALGORITHM

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CONF ON VISUAL INFORMATION processing 2

作者： LE, DX THOMA, GR National Library of Medicine (United States)

ISBN: (纸本)0819411973

As part of research into document image processing, an algorithm has been developed to detect the degree of skew in a scanned binary image. The principal components of the algorithm are component labelling, a procedure to reduce the amount of data to be processed, a technique to minimize the effect of non-textual data (graphics, forms, line art, large fonts, and dithered images) on the measurement of skew angle, and the Hough transform. The performance of the algorithm has been evaluated using a sample size of several hundred images of medical journal pages. Evaluation shows that a skew angle may be detected with an accuracy of about 0.50 degree.

关键词： Binary data Hough transforms image processing Detection and tracking algorithms image segmentation Algorithm development Medical imaging image processing algorithms and systems Visual information processing Data processing

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Joint Multi-Object Registration and Segmentation of Left and Right Cardiac Ventricles in 4D cine MRI

Joint Multi-Object Registration and Segmentation of Left and...

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Conference on Medical Imaging - image processing

作者： Ehrhardt, Jan Kepp, Timo Schmidt-Richberg, Alexander Handels, Heinz Med Univ Lubeck Inst Med Informat Lubeck Germany Imperial Coll Biomed Image Analysis Grp London England

ISBN: (纸本)9780819498274

The diagnosis of cardiac function based on cine MRI requires the segmentation of cardiac structures in the images, but the problem of automatic cardiac segmentation is still open, due to the imaging characteristics of cardiac MR images and the anatomical variability of the heart. In this paper, we present a variational framework for joint segmentation and registration of multiple structures of the heart. To enable the simultaneous segmentation and registration of multiple objects, a shape prior term is introduced into a region competition approach for multi-object level set segmentation. The proposed algorithm is applied for simultaneous segmentation of the myocardium as well as the left and right ventricular blood pool in short axis cine MRI images. Two experiments are performed: first, intra-patient 4D segmentation with a given initial segmentation for one time-point in a 4D sequence, and second, a multi-atlas segmentation strategy is applied to unseen patient data. Evaluation of segmentation accuracy is done by overlap coefficients and surface distances. An evaluation based on clinical 4D cine MRI images of 25 patients shows the benefit of the combined approach compared to sole registration and sole segmentation.

关键词： image segmentation image registration Magnetic resonance imaging Heart Blood 3D image processing 3D modeling Distance measurement image processing image processing algorithms and systems

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DETECTION OF IMPORTANT DIRECTIONS ON THERMAL INFRARED imageS WITH APPLICATION TO TARGET RECOGNITION

DETECTION OF IMPORTANT DIRECTIONS ON THERMAL INFRARED IMAGES...

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CONF ON ARCHITECTURE, HARDWARE, AND FORWARD-LOOKING INFRARED ISSUES IN AUTOMATIC TARGET RECOGNITION

作者： PERNEEL, C DEMATHELIN, M ACHEROY, M Royal Military Academy (Belgium) Carnegie Mellon Univ. (France)

ISBN: (纸本)0819411930

In this paper, different methods are presented for the detection of important directions on thermal infrared images. These methods are compared to the well-known Hough method which performs poorly for these types of images. These algorithms are especially designed for an automatic target recognition system, but could as well be used for other types of application.

关键词： Detection and tracking algorithms Infrared radiation Sensors Binary data image segmentation Infrared imaging Thermography Infrared detectors image processing algorithms and systems Target recognition

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Extended volume coverage in helical cone-beam CT by using PI-line-based BPF algorithm

Extended volume coverage in helical cone-beam CT by using PI...

引用

Medical Imaging 2007 Conference

作者： Cho, Seungryong Pan, Xiaochuan Univ Chicago Dept Radiol Chicago IL 60637 USA Univ Chicago Dept Radiat & Cellular Oncol Chicago IL 60637 USA

ISBN: (纸本)9780819466280

We compared data requirements of filtered-backprojection (FBP) and backprojection-filtration (BPF) algorithms based on PI-lines in helical cone-beam CT. Since the filtration process in FBP algorithm needs all the projection data of PI-lines for each view, the required detector size should be bigger than the size that can cover Tam-Danielsson (T-D) window to avoid data truncation. BPF algorithm, however, requires the projection data only within the T-D window, which means smaller detector size can be used to reconstruct the same image than that in FBP. In other words, a longer helical pitch can be obtained by using BPF algorithm without any truncation artifacts when a fixed detector size is given. The purpose of the work is to demonstrate numerically that extended volume coverage in helical cone-beam CT by using PI-line-based BPF algorithm can be achieved.

关键词： Reconstruction algorithms Detection and tracking algorithms Sensors Algorithm development image segmentation image processing algorithms and systems image restoration algorithms Computed tomography Medical imaging

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FREQUENCY AND ORIENTATION SELECTIVE TEXTURE MEASURES USING LINEAR SYMMETRY AND LAPLACIAN PYRAMID

FREQUENCY AND ORIENTATION SELECTIVE TEXTURE MEASURES USING L...

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CONF ON VISUAL COMMUNICATIONS AND image processing 90

作者： BIGUN, J Swiss Federal Institute of Technology (Switzerland)

ISBN: (纸本)0819404217

An efficient, new method for computing texture features based on dominant local orientation is introduced. The features are computed as the Laplacian pyramid is built up. At each level of the Laplacian pyramid, the linear symmetry feature is computed. This feature is anisotropic and estimates the optimal local orientation in the Least Square Error (LSE) sense. This corresponds to the orientation interpolation obtained from the filter responses of a polar gabor decomposition of the local image. The linear symmetry feature consists of two components, the local orientation estimate and its confidence measure based on the error. Since the latter is a measure of evidence for existence of a definite direction, the linear symmetry feature computed as proposed, has the property of orientation selectivity within each frequency channel. The algorithm is based on convolutions with simple separable filters and pixel-wise non-linear arithmetic operations. These properties allow highly parallel implementation, for example on a pyramid machine, yielding real time applications. Experiments based on test images of natural textures are presented.

关键词： image filtering image segmentation Gaussian filters image processing Linear filtering Visual communications Digital filtering Fourier transforms image classification image processing algorithms and systems

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