Annotation of medical images using the SURF descriptor
Autor: | Antonio M. G. Pinheiro, Anna Wojnar |
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Rok vydání: | 2012 |
Předmět: |
Contextual image classification
Computer science business.industry Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Scale-invariant feature transform Pattern recognition Support vector machine Annotation ComputingMethodologies_PATTERNRECOGNITION Automatic image annotation Kernel (image processing) Computer Science::Computer Vision and Pattern Recognition Computer Science::Multimedia Computer vision Artificial intelligence business Image retrieval |
Zdroj: | ISBI |
DOI: | 10.1109/isbi.2012.6235501 |
Popis: | This paper describes a method for medical images annotation based on the SURF descriptor and the SVM classifier. For the features extraction a Fast-Hessian detector was used. The feature matching was performed with a SVM with a quadratic kernel. The testing of the developed system was performed using a subset of the IRMA radiographic images. The results provided with the SURF descriptor are compared with the ones obtained using the SIFT descriptor with SVM classification. Applying the SURF descriptor resulted in improved classification of lung images with an accuracy over 96%. The research shows that the SURF is a potentially strong tool to be applied in the field of medical image annotation. Together with the SVM classification it may construct an efficient system for automatic medical image retrieval and annotation. |
Databáze: | OpenAIRE |
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