pattern recognition and image analysis

[...]... from images IEEE Trans on Pattern Analysis and Machine Intelligence 28(1) (2006) 5 Wyszecki, G., Stiles, W.: Section 1.2 In: Color science: concepts and methods, quantitative data and formulae (2nd Edition) John Wiley & Sons (1982) 6 Gonzalez, R., Woods, R.: Section 10.4 In: Digital Image Processing (2nd Edition) Prentice Hall (2002) 7 Finlayson, G., Hordley, S., Drew, M.: Removing shadows from images... Atkinson and Edwin R Hancock 363 Estimation of Multiple Objects at Unknown Locations with Active Contours Margarida Silveira and Jorge S Marques 372 Analytic Reconstruction of Transparent and Opaque Surfaces from Texture Images Mohamad Ivan Fanany and Itsuo Kumazawa 380 Sedimentological Analysis of Sands... Ib´nez, and J Santos a˜ 226 Using Graphics Hardware for Enhancing Edge and Circle Detection Antonio Ruiz, Manuel Ujald´n, and Nicol´s Guil o a 234 Optimally Discriminant Moments for Speckle Detection in Real B-Scan Images Robert Mart´, Joan Mart´, Jordi Freixenet, ı ı Joan Carles Vilanova, and Joaquim Barcel´ o 242 Influence of Resampling and. .. Saturnino Maldonado-Basc´n, e o Hilario G´mez-Moreno, Sergio Lafuente-Arroyo, and o Javier Acevedo-Rodr´guez ı Modeling Aceto-White Temporal Patterns to Segment Colposcopic Images H´ctor-Gabriel Acosta-Mesa, Nicandro Cruz-Ram´rez, e ı Rodolfo Hern´ndez-Jim´nez, and a e Daniel-Alejandro Garc´a-L´pez ı o Speech/Music Classification Based on Distributed... is accomplished using an oversubtraction factor osub(λ, k) and a spectral flooring constant (subf ) [12] The osub(λ, k) factor is needed to eliminate the musical noise, and it is calculated as a function of the subband Signal to Noise Ratio SN Ry (λ, k), λ and k (for a high SNR and high frequencies less osub factor is required, for low SNR and low frequencies the osub is less) The subf constant helps... Invariant Image Image formation models are defined in terms of the interaction between the spectral power distribution of illumination, surface reflectance and spectral sensitivity of the imaging sensors Finlayson et al [4] show that under the assumptions of Planckian illumination, Lambertian surfaces and having three different narrow band sensors, it is possible to obtain a shadow–free color image We... three different feature spaces: intensity image (I; also called luminance or brightness); hue–saturation–intensity (HSI) color space; and the illuminant invariant image (I) 14 ´ J.M Alvarez, A.M L´pez, and R Baldrich o The intensity image is included in the comparison just to see what can we expect from a monocular monochrome system Since it is a grey level image, its corresponding dissimilarity measure... Seon Song, Seong Soo Lee, and Min-Cheol Hong 331 Cyclic Viterbi Score for Linear Hidden Markov Models Vicente Palaz´n and Andr´s Marzal o e 339 Non Parametric Classification of Human Interaction Scott Blunsden, Ernesto Andrade, and Robert Fisher 347 A Density-Based Data Reduction Algorithm for Robust Estimators L Ferraz, R Felip, B Mart´nez, and X Binefa ı 355 Robust... Realpe, Boris Vintimilla, and e Jos´ Santos-Victor e 17 Fast Central Catadioptric Line Extraction Jean Charles Bazin, C´dric Demonceaux, and Pascal Vasseur e 25 Similarity-Based Object Retrieval Using Appearance and Geometric Feature Combination Agn´s Borr`s and Josep Llad´s e a o 33 Real-Time Facial Expression Recognition for Natural... Left Ventricle in Ultrasound Images Based on Total Variation Denoising Jacinto C Nascimento, Jo˜o M Sanches, and Jorge S Marques a 628 Bayesian Oil Spill Segmentation of SAR Images Via Graph Cuts S´nia Pelizzari and Jos´ M Bioucas-Dias o e 637 Unidimensional Multiscale Local Features for Object Detection Under Rotation and Mild Occlusions . Image Processing, Computer Vision, Pattern Recognition, and Graphics ISSN 030 2-9 743 ISBN-10 3-5 4 0-7 284 8-1 Springer Berlin Heidelberg New York ISBN-13 97 8-3 -5 4 0-7 284 8-1 Springer Berlin Heidelberg New. Acevedo-Rodr´ıguez Modeling Aceto-White Temporal Patterns to Segment Colposcopic Images 548 H´ector-Gabriel Acosta-Mesa, Nicandro Cruz-Ram´ırez, Rodolfo Hern´andez-Jim´enez, and Daniel-Alejandro. – Part II XV A New Method for Robust and Efficient Occupancy Grid-Map Matching 194 Jose-Luis Blanco, Javier Gonzalez, and Juan-Antonio Fernandez-Madrigal Vote-Based Classifier Selection for Biomedical