Comparison between 2D and 3D local binary pattern methods for characterisation of three-dimensional textures

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5112 LNCS, Issue , 2008, Pages 670-679

  Paulhac, Ludovic ^a   Makris, Pascal ^a   Ramel, Jean Yves ^a  

^a UNIVERSITÉ DE TOURS   (France)

Author keywords

Classification experiments; Local Binary Pattern method; Solid texture

Indexed keywords

CHARACTERISATION; GAUSSIAN NOISE; HEIDELBERG (CO); INTERNATIONAL CONFERENCES; LOCAL BINARY PATTERN (LBP); TEXTURE ANALYSIS; TEXTURE IMAGES; THREE DIMENSIONAL (3 D) IMAGING; THREE DIMENSIONAL (3D); THREE DIMENSIONS; TWO-DIMENSIONAL (2-D) MODELING; TWO-DIMENSIONAL (2D);

CLASSIFICATION (OF INFORMATION); CONTENT BASED RETRIEVAL; FILMS; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGING SYSTEMS; IMAGING TECHNIQUES; TEXTURES; THREE DIMENSIONAL; TWO DIMENSIONAL;

DATABASE SYSTEMS;

EID: 47749126235     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69812-8_66     Document Type: Conference Paper

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