Pattern Recognition and Image Analysis

Classification of Repetitive Patterns Using Symmetry Group Prototypes (Pattern Recognition and Image Analysis)

Abstract We present a novel computational framework for automatic classification method by symmetries, for periodic images applied to content based image retrieval. The existing methods have several drawbacks because of the use of heuristics. These methods have shown low classification values when images exhibit imperfections due to the fabrication or the hand made process. Also, […]

Distance Maps from Unthresholded Magnitudes (Pattern Recognition and Image Analysis)

Abstract A straightforward algorithm that computes distance maps from unthresholded magnitude values is presented, suitable for still images and video sequences. While results on binary images are similar to classic Euclidean Distance Transforms, the proposed approach does not require a binarization step. Thus, no thresholds are needed and no information is lost in intermediate classification […]

Scratch Assay Analysis with Topology-Preserving Level Sets and Texture Measures (Pattern Recognition and Image Analysis)

Abstract Scratch assays are widely used for cell motility and migration assessment in biomedical research. However, quantitative data is very often extracted manually. Here, we present a fully automated analysis pipeline for detecting scratch boundaries and measuring areas in scratch assay images based on level set techniques. In particular, non-PDE level sets are extended for […]

Level Set Segmentation with Shape and Appearance Models Using Affine Moment Descriptors (Pattern Recognition and Image Analysis)

Abstract We propose a level set based variational approach that incorporates shape priors into edge-based and region-based models. The evolution of the active contour depends on local and global information. It has been implemented using an efficient narrow band technique. For each boundary pixel we calculate its dynamic according to its gray level, the neighborhood […]

Automatic HyperParameter Estimation in fMRI (Pattern Recognition and Image Analysis)

Abstract Maximum a posteriori (MAP) in the scope of the Bayesian framework is a common criterion used in a large number of estimation and decision problems. In image reconstruction problems, typically, the image to be estimated is modeled as a Markov Random Fields (MRF) described by a Gibbs distribution. In this case, the Gibbs energy […]

Automatic Branching Detection in IVUS Sequences (Pattern Recognition and Image Analysis)

Abstract Atherosclerosis is a vascular pathology affecting the arterial walls, generally located in specific vessel sites, such as bifurcations. In this paper, for the first time, a fully automatic approach for the detection of bifurcations in IVUS pullback sequences is presented. The method identifies the frames and the angular sectors in which a bifurcation is […]

A Region Segmentation Method for Colonoscopy Images Using a Model of Polyp Appearance (Pattern Recognition and Image Analysis)

Abstract This work aims at the segmentation of colonoscopy images into a minimum number of informative regions. Our method performs in a way such, if a polyp is present in the image, it will be exclusively and totally contained in a single region. This result can be used in later stages to classify regions as […]

Interactive Labeling of WCE Images (Pattern Recognition and Image Analysis)

Abstract A high quality labeled training set is necessary for any supervised machine learning algorithm. Labeling of the data can be a very expensive process, specially while dealing with data of high variability and complexity. A good example of such data are the videos from Wireless Capsule Endoscopy. Building a representative WCE data set means […]

Automatic and Semi-automatic Analysis of the Extension of Myocardial Infarction in an Experimental Murine Model (Pattern Recognition and Image Analysis)

Abstract Rodent models of myocardial infarction (MI) have been extensively used in biomedical research towards the implementation of novel regenerative therapies. Permanent ligation of the left anterior descending (LAD) coronary artery is a commonly used method for inducing MI both in rat and mouse. Post-mortem evaluation of the heart, particularly the MI extension assessment performed […]

Non-rigid Multi-modal Registration of Coronary Arteries Using SIFT flow (Pattern Recognition and Image Analysis)

Abstract The fusion of clinically relevant information coming from different image modalities is an important topic in medical imaging. In particular, different cardiac imaging modalities provides complementary information for the physician: Computer Tomography Angiography (CTA) provides reliable pre-operative information on arteries geometry, even in the presence of chronic total occlusions, while X-Ray Angiogra-phy (XRA) allows […]

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