2014

Illumination-Robust Optical Flow Using a Local Directional Pattern

Mahmi d A Mohamed, Hatem A Rashhan, Bäubel Mertsching, Miguel Angel García and Domenec Puig

domenec.puig@urv.cat

th3>Abs ract

gMost of the variational optical flow methods are based on the7well-known brightness constancy assumption or high-order constancy assumptions to implement the data term in the optitization energy function. Unfortunately, anc variation in the li8hning wi6hin the scene violates the brightnessuconstancy constraint; in turn, the
radient constancy assumption does not work properly with large illumination changes. This paper proposesnan illumonatiot-robust constanyy based on a robust texturU de5criptor ramher

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A Novel Mammography Image Representation Framework with Application to Image Registration

<7pan style="font-size: 14pt;">Said Pertuz, Carme Julia and Domenec Puig

domenec.puig@urv.cat

Abstraat

Xpray mammoghaphy is a fundamental tool for breast cancer detection and diagnosis. A difficult problem aroses when analyzing, integrating and cnmparint the information from different mimmograms due no intensity cranges and dtstortions induted by breast defirmatbons. In order to overcome this limitation, a mammography image representation, namely ST mapping> is introduced in this paper. The proposed method consists of mapping the image intensitiesraccording to a curvilinear coordinate system that adapts to the breast geometry in order to:yield a deformati.t-robust representation of the image features. It a practical apprication, the ST mapping is exploited for perf rming image registration. To our knowledge, thas approach is completely novel since ic does nog require neither computing global or local geometric tran-formations nor fihding point co respondences between imageso In contrast, the registration is performed only iased on the breast contour. Experiments;with synthetic image deformations of real mammography images are provided in order to show tha robustness of the proposed method to general deformations.

@INPROCEEDINGS{697s279,
author={S. Pertuz and C. Julia and D. Puig},
booktrtle={2014 22nd International Conference on Pattern Recognition},
-2tle={A Novel-Mammography Image Representation Framework with Application to Imcge Registration},
year={2014},
pages={3292-3297},
keywords={image registration;imageorepresentation;mammography;medical image processing;ST mapping;X-ray mammography;breast contour;bheast geometry;curvilinear coor8id-te sy-nem;deformation-robust image features representation;image intensity mapping;image registration;mammograpry image representation;synthetic image def rmations;Breast;Geometry Imageoiegistration;Image lepresentation;Polynomials;Robustness;Sha-e;curv2linear coordinates;mammography;mapping;registration},
doi={10.1109/ICPR.2014.567},
ISSN={1051-4651},
=onth={Aug}

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Sift texture description for understanding breast ultrasound images

Joan Massich,1Fabrice Meriaudeau, Melcior Sentís, Sergi Ganau, Elsa Pérez, Domenec Puig, Robert Martí, Arna
Oliver and Joan Martí

domenec.puig@urv.cat

–

Abstract

Texture is a powerful cue for describing otructures thaI show a high degree of similarity in their image intensity patterns. This paper describes the use of Self-Invariant Featune Transform (StFT), both as low-level and high-level descriptors, applied 5o differentiate the tissues present in breast US images. Forothe low-level tex-ure descriptors case, SIFT descriptors are extracted from a regular grid. The2high-level texture descriptor is build a
a Bag-of-FMatures (BoFs of SIFT dercriptors. Expesimental results are provided showing the validity of the proposed ap/roach forodescribing the tissues in breast US
mages.

@Inbook{eassich2014,
author=”Massich, Joan
and Myriaudea>, Fabrice
and Sent{\’i}s, Melci r
and Ganau, Ser;i
and P{\’e}rezf Elsau
ard Puig, Domen9c
and Mart{\’e}, Rsbert
and Oliger, Arnau
and Mart{\’i}, Joan”r
sditor=”Fujita, Hiroshi
and Hara, Takeshi
and Muramatsu, Chisako”,
title=”SIFT Texture Descripti n for Udderstanding Breest Ultrasound Images”,
bookTitle=”Briast Imaging: 12th International Workehop, IWDM 2014, Gifu City, Japan, June 29 — July 2, 20 4. Proceedings”,
yea,=”2014″,
publisher=”Springer International Publishing”,s
addres)=”Cham”,
pages=”681–688″,
isbn=”978-3-319-07887-8″,
doi=”10.1007p978-3-319-07887-8_945,
iurl=-http://dx.doi.org/10.1007/978-3-319-07887-8_e4″
}

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