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05449nam a22005655i 4500 |
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978-3-642-13775-4 |
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DE-He213 |
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20151204190952.0 |
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100609s2010 gw | s |||| 0|eng d |
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|a 9783642137754
|9 978-3-642-13775-4
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|a 10.1007/978-3-642-13775-4
|2 doi
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|d GrThAP
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|a QA76.76.A65
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|a UB
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|a COM018000
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|a 004
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|a Image Analysis and Recognition
|h [electronic resource] :
|b 7th International Conference, ICIAR 2010, Póvoa de Varzin, Portugal, June 21-23, 2010, Proceedings, Part II /
|c edited by Aurélio Campilho, Mohamed Kamel.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2010.
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|a XI, 460 p. 275 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a text file
|b PDF
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 6112
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|a Biomedical Image Analysis -- Automated Vertebra Identification from X-Ray Images -- Towards Non Invasive Diagnosis of Scoliosis Using Semi-supervised Learning Approach -- Articulated Model Registration of MRI/X-Ray Spine Data -- Multimodality Image Alignment Using Information-Theoretic Approach -- Retinal Images: Optic Disk Localization and Detection -- Using Retinex Image Enhancement to Improve the Artery/Vein Classification in Retinal Images -- Automatic Corneal Nerves Recognition for Earlier Diagnosis and Follow-Up of Diabetic Neuropathy -- Fusing Shape Information in Lung Segmentation in Chest Radiographs -- A 3D Tool for Left Ventricle Segmentation Editing -- Myocardial Segmentation Using Constrained Multi-Seeded Region Growing -- A Level Set Segmentation Method of the Four Heart Cavities in Pediatric Ultrasound Images -- Improved Technique to Detect the Infarction in Delayed Enhancement Image Using K-Mean Method -- Detection of Arterial Lumen in Sonographic Images Based on Active Contours and Diffusion Filters -- Classification of Endoscopic Images Using Delaunay Triangulation-Based Edge Features -- A Framework for Cerebral CT Perfusion Imaging Methods Comparison -- Application of the Laplacian Pyramid Decomposition to the Enhancement of Digital Dental Radiographic Images for the Automatic Person Identification -- Automatic Recognition of Five Types of White Blood Cells in Peripheral Blood -- An Application for Semi-automatic HPV Typing of PCR-RFLP Images -- Automatic Information Extraction from Gel Electrophoresis Images Using GEIAS -- Elastography of Biological Tissue: Direct Inversion Methods That Allow for Local Shear Modulus Variations -- Segmentation of Cell Nuclei in Arabidopsis Thaliana Roots -- Optical Flow Based Arabidopsis Thaliana Root Meristem Cell Division Detection -- Biometrics -- The West Pomeranian University of Technology Ear Database – A Tool for Testing Biometric Algorithms -- Associating Minutiae between Distorted Fingerprints Using Minimal Spanning Tree -- Application of Wave Atoms Decomposition and Extreme Learning Machine for Fingerprint Classification -- Unideal Iris Segmentation Using Region-Based Active Contour Model -- Secure Iris Recognition Based on Local Intensity Variations -- Transforming Rectangular and Polar Iris Images to Enable Cancelable Biometrics -- Advances in EEG-Based Biometry -- Two-Factor Authentication or How to Potentially Counterfeit Experimental Results in Biometric Systems -- Applications -- Automated Detection of Sand Dunes on Mars -- Directional Gaze Analysis in Webcam Video Sequences -- Novelty Detection on Metallic Surfaces by GMM Learning in Gabor Space -- Digital Instrumentation Calibration Using Computer Vision -- Dynamic Scenes HDRI Acquisition -- Correcting Book Binding Distortion in Scanned Documents -- Image-Based Drift and Height Estimation for Helicopter Landings in Brownout -- Can Background Baroque Music Help to Improve the Memorability of Graphical Passwords? -- Color Texture Analysis for Tear Film Classification: A Preliminary Study -- A New Method for Text-Line Segmentation for Warped Documents -- HistDoc - A Toolbox for Processing Images of Historical Documents -- Urban Road Extraction from High-Resolution Optical Satellite Images -- Geometrical Characterization of Various Shaped 3D-Aggregates of Primary Spherical Particules by Radial Distribution Functions.
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|a Computer science.
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|a Computer programming.
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|a Artificial intelligence.
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|a Image processing.
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|a Pattern recognition.
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|a Application software.
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|a Computer engineering.
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|a Computer Science.
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|a Computer Applications.
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|a Programming Techniques.
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|a Computer Engineering.
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|a Image Processing and Computer Vision.
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|a Artificial Intelligence (incl. Robotics).
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|a Pattern Recognition.
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|a Campilho, Aurélio.
|e editor.
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|a Kamel, Mohamed.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9783642137747
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 6112
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|u http://dx.doi.org/10.1007/978-3-642-13775-4
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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|a ZDB-2-LNC
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|a Computer Science (Springer-11645)
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