title: Content based image retrieval using local binary pattern operator and data mining techniques.
abstract: Content based image retrieval (CBIR) concerns the retrieval of similar images from image databases, using feature vectors extracted from images. These feature vectors globally define the visual content present in an image, defined by e.g., texture, colour, shape, and spatial relations between vectors. Herein, we propose the definition of feature vectors using the Local Binary Pattern (LBP) operator. A study was performed in order to determine the optimum LBP variant for the general definition of image feature vectors. The chosen LBP variant is then subsequently used to build an ultrasound image database, and a database with images obtained from Wireless Capsule Endoscopy. The image indexing process is optimized using data clustering techniques for images belonging to the same class. Finally, the proposed indexing method is compared to the classical indexing technique, which is nowadays widely used.
authors.affiliation: Department of Functional Sciences/Medical Informatics and Biostatistics, University of Medicine and Pharmacy Timisoara, Romania.
authors.forename: Oana Astrid
authors.initials: OA
authors.lastname: Vatamanu
authors.affiliation: Department of Functional Sciences/Medical Informatics and Biostatistics, University of Medicine and Pharmacy Timisoara, Romania.
authors.forename: Mirela
authors.initials: M
authors.lastname: Frandeş
authors.affiliation: Department of Functional Sciences/Medical Informatics and Biostatistics, University of Medicine and Pharmacy Timisoara, Romania.
authors.forename: Diana
authors.initials: D
authors.lastname: Lungeanu
authors.affiliation: Department of Functional Sciences/Medical Informatics and Biostatistics, University of Medicine and Pharmacy Timisoara, Romania.
authors.forename: Gheorghe-Ioan
authors.initials: GI
authors.lastname: Mihalaş
mesh_terms: D053704:Capsule Endoscopy / Q000379:methods*; D057225:Data Mining / Q000379:methods*; D006801:Humans; D000069550:Machine Learning; D010363:Pattern Recognition, Automated / Q000379:methods*; D011873:Radiology Information Systems / Q000458:organization & administration*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D014463:Ultrasonography / Q000379:methods