Pattern Recognition and Image Analysis
Third Iberian Conference, IbPRIA 2007, Girona, Spain, June 6-8, 2007, Proceedings, Part II
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17 Result(s)
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Chapter and Conference Paper
Similarity Metrics for Intensity-Based Registration Using Breast Density Maps
Intensity-based registration algorithms have been widely used in medical image applications. This type of registration algorithms uses an object function to compute a transformation and optimizes a measure of ...
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Chapter and Conference Paper
Feasibility Study of Lesion Detection Using Deformable Part Models in Breast Ultrasound Images
Detection of lesions in ultrasound imaging typically requires human analysis due to their complexity. Hence, computerized lesion detection methods could be used to help radiologists in this process due to the ...
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Chapter and Conference Paper
Simultaneous Lesion Segmentation and Bias Correction in Breast Ultrasound Images
Ultrasound (US) B-mode images often show intensity inhomogeneities caused by an ultrasonic beam attenuation within the body. Due to this artifact, the conventional segmentation approaches based on intensity or...
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Chapter and Conference Paper
Multi-Scale Image Analysis Applied to Radioastronomical Interferometric Data
Multi-Scale image analysis is specially suited to detect objects in deep wide field radio astronomical images obtained through interferometric aperture synthesis techniques. These images are usually complex an...
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Book and Conference Proceedings
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Book and Conference Proceedings
Pattern Recognition and Image Analysis
Third Iberian Conference, IbPRIA 2007, Girona, Spain, June 6-8, 2007, Proceedings, Part I
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Chapter and Conference Paper
Optimally Discriminant Moments for Speckle Detection in Real B-Scan Images
Detection of speckle in ultrasound (US) images has been regarded as an important research topic in US imaging, mainly focusing on two specific applications: improving signal to noise ratio by removing speckle ...
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Chapter and Conference Paper
On the Detection of Regions-of-Interest in Dynamic Contrast-Enhanced MRI
Multivariate imaging technologies such as Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) have recently gained an important attention as it improves tumour detection. Modelling of contrast media...
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Chapter and Conference Paper
False Positive Reduction in Breast Mass Detection Using Two-Dimensional PCA
In this paper we present a novel method for reducing false positives in breast mass detection. Our approach is based on using the Two-Dimensional Principal Component Analysis (2DPCA) algorithm, recently propos...
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Chapter and Conference Paper
False Positive Reduction in Mammographic Mass Detection Using Local Binary Patterns
In this paper we propose a new approach for false positive reduction in the field of mammographic mass detection. The goal is to distinguish between the true recognized masses and the ones which actually are n...
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Chapter and Conference Paper
Breast Segmentation with Pectoral Muscle Suppression on Digital Mammograms
Previous works on breast tissue identification and abnormalities detection notice that the feature extraction process is affected if the region processed is not well focused. Thereby, it is important to split ...
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Chapter and Conference Paper
A Learning Framework for Object Recognition on Image Understanding
In this paper an object learning system for image understanding is proposed. The knowledge acquisition system is designed as a supervised learning task, which emphasises the role of the user as teacher of the ...
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Chapter and Conference Paper
Colour Texture Segmentation by Region-Boundary Cooperation
A colour texture segmentation method which unifies region and boundary information is presented in this paper. The fusion of several approaches which integrate both information sources allows us to exploit the...
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Chapter and Conference Paper
Active Region Segmentation of Mammographic Masses Based on Texture, Contour and Shape Features
In this paper we propose a supervised method for the segmentation of masses in mammographic images. The algorithm starts with a selected pixel inside the mass, which has been manually selected by an expert rad...
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Chapter and Conference Paper
Image Texture Prediction Using Colour Photometric Stereo
The purpose of this work is to analyse what happens to the surface information when the image resolution is modified. We deduce how the surface texture appears if seen from different distances. Using Colour Ph...
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Chapter and Conference Paper
Improving Reliability in Classification of Microcalcifications in Digital Mammograms Using Case-Based Reasoning
Case-based classifiers try to solve given cases using the solutions of the most similar cases. In several medical domains, sometimes they do not perform well because of their reliability. In this paper we buil...
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Chapter and Conference Paper
Region-Boundary Cooperative Image Segmentation Based on Active Regions
An unsupervised approach to image segmentation which fuses different sources of information is presented. The proposed approach takes advantage of the combined use of 3 different strategies: an appropriated pl...
