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- ArticleJune 2016
Learning Density Independent Texture Features
IWDM 2016: Proceedings of the 13th International Workshop on Breast Imaging - Volume 9699Pages 299–306https://doi.org/10.1007/978-3-319-41546-8_38Breast cancer risk assessment is becoming increasingly important in clinical practice. It has been suggested that features that characterize mammographic texture are more predictive for breast cancer than breast density. Yet, strong correlation between ...
- articleOctober 2013
Linear feature selection in texture analysis - A PLS based method
Machine Vision and Applications (MVAA), Volume 24, Issue 7Pages 1435–1444https://doi.org/10.1007/s00138-012-0461-1We present a texture analysis methodology that combined uncommitted machine-learning techniques and partial least square (PLS) in a fully automatic framework. Our approach introduces a robust PLS-based dimensionality reduction (DR) step to specifically ...
- articleOctober 2013
A unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape models
Machine Vision and Applications (MVAA), Volume 24, Issue 7Pages 1421–1434https://doi.org/10.1007/s00138-012-0460-2Segmentation of vertebral contours is an essential task in the design of imaging biomarkers for osteoporosis based on vertebra shape or texture. In this paper, we propose a novel automatic segmentation technique which can optionally be constrained by ...
- articleSeptember 2013
Predicting knee cartilage loss using adaptive partitioning of cartilage thickness maps
Computers in Biology and Medicine (CBIM), Volume 43, Issue 8Pages 1045–1052https://doi.org/10.1016/j.compbiomed.2013.05.012This study investigates whether measures of knee cartilage thickness can predict future loss of knee cartilage. A slow and a rapid progressor group was determined using longitudinal data, and anatomically aligned cartilage thickness maps were extracted ...
- articleJuly 2012
Automatic analysis of trabecular bone structure from knee MRI
Computers in Biology and Medicine (CBIM), Volume 42, Issue 7Pages 735–742https://doi.org/10.1016/j.compbiomed.2012.04.005We investigated the feasibility of quantifying osteoarthritis (OA) by analysis of the trabecular bone structure in low-field knee MRI. Generic texture features were extracted from the images and subsequently selected by sequential floating forward ...
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- ArticleSeptember 2011
Automatic segmentation of vertebrae from radiographs: a sample-driven active shape model approach
MLMI'11: Proceedings of the Second international conference on Machine learning in medical imagingPages 10–17Segmentation of vertebral contours is an essential task in the design of automatic tools for vertebral fracture assessment. In this paper, we propose a novel segmentation technique which does not require operator interaction. The proposed technique ...
- research-articleJune 2010
Symmetry Sensitivities of Derivative-of-Gaussian Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence (ITPM), Volume 32, Issue 6Pages 1072–1083https://doi.org/10.1109/TPAMI.2009.91We consider the measurement of image structure using linear filters, in particular derivative-of-Gaussian (DtG) filters, which are an important model of V1 simple cells and widely used in computer vision, and whether such measurements can determine ...
- research-articleMarch 2010
Single gaze gestures
ETRA '10: Proceedings of the 2010 Symposium on Eye-Tracking Research & ApplicationsPages 177–180https://doi.org/10.1145/1743666.1743710This paper examines gaze gestures and their applicability as a generic selection method for gaze-only controlled interfaces. The method explored here is the Single Gaze Gesture (SGG), i.e. gestures consisting of a single point-to-point eye movement. ...
- ArticleMay 2009
Basic Image Features (BIFs) Arising from Approximate Symmetry Type
SSVM '09: Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer VisionPages 343–355https://doi.org/10.1007/978-3-642-02256-2_29We consider detection of local image symmetry using linear filters. We prove a simple criterion for determining if a filter is sensitive to a group of symmetries. We show that derivative-of-Gaussian (DtG) filters are excellent at detecting local image ...
- articleMay 2009
Statistics and category systems for the shape index descriptor of local 2nd order natural image structure
Image and Vision Computing (IAVC), Volume 27, Issue 6Pages 771–781https://doi.org/10.1016/j.imavis.2008.08.003The shape index offers a natural and invariant description of pure 2nd order image structure. We discuss its properties and report novel natural image statistics for the shape index and the additional two parameters of curvedness and principal direction ...
- extended-abstractApril 2009
Single stroke gaze gestures
CHI EA '09: CHI '09 Extended Abstracts on Human Factors in Computing SystemsPages 4555–4560https://doi.org/10.1145/1520340.1520699This paper introduces and explains the concept of single stroke gaze gestures. Some preliminary results are presented which indicate the potential efficiency of this interaction method and we show how the method could be implemented for the benefit of ...
- ArticleMay 2007
Maximum likelihood metameres for local 2nd order image structure of natural images
SSVM'07: Proceedings of the 1st international conference on Scale space and variational methods in computer visionPages 394–405We investigate the maximum likelihood metameres of local pure 2nd order structure in natural images. Using the shape index, we re-parameterise the 2nd order structure and gain a one-parameter index which offers a qualitative description of local pure ...
- articleDecember 2006
Hypotheses for Image Features, Icons and Textons
International Journal of Computer Vision (IJCV), Volume 70, Issue 3Pages 213–230https://doi.org/10.1007/s11263-006-6355-9We review ideas about the relationship between qualitative description of local image structure and quantitative description based on responses to a family of linear filters. We propose a sequence of three linking hypotheses. The first, the Feature ...
- ArticleApril 2005
On image reconstruction from multiscale top points
Scale-Space'05: Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer VisionPages 431–442https://doi.org/10.1007/11408031_37Image reconstruction from a fiducial collection of scale space interest points and attributes (e.g. in terms of image derivatives) can be used to make the amount of information contained in them explicit. Previous work by various authors includes both ...
- ArticleApril 2005
Image features and the 1-D, 2nd
Scale-Space'05: Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer VisionPages 26–37https://doi.org/10.1007/11408031_3We review a previously presented proposal – Geometric Texton Theory (GTT) – that feature categories naturally arise through consideration of the maximum likelihood explanations for image measurements by gaussian derivative filters. We present results ...
- ArticleAugust 2004
Jet Based Feature Classification
ICPR '04: Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02Pages 787–790In this paper, we investigate to which extent the "raw" mapping of Taylor series coefficients into jet-space can be used as a "language" for describing local image structure in terms of geometrical image features. Based on empirical data from the van ...
- ArticleJune 2003
Gaussian scale space from insufficient image information
Scale Space'03: Proceedings of the 4th international conference on Scale space methods in computer visionPages 757–769Gaussian scale space is properly defined and well-developed for images completely known and defined on the d dimensional Euclidean space Rd. However, as soon as image information is only partly available, say, on a subset V of Rd, the Gaussian scale ...
- ArticleJune 2003
Mode estimation using pessimistic scale space tracking
Scale Space'03: Proceedings of the 4th international conference on Scale space methods in computer visionPages 266–280Estimation of the mode of a distribution over Rn from discrete samples is introduced and three methods for its solution are developed and evaluated. The first solution is based on Fréchet's definition of central tendencies. We show that algorithms based ...
- articleMay 2003
Feature-Based Image Analysis
International Journal of Computer Vision (IJCV), Volume 52, Issue 2-3Pages 73–95https://doi.org/10.1023/A:1022995822531According to Marr's paradigm of computational vision the first process is an extraction of relevant features. The goal of this paper is to quantify and characterize the information carried by features using image-structure measured at feature-points to ...