One dimensional local binary pattern for bone texture characterization

• Published in: Pattern analysis and applications : PAA Vol. 17; no. 1; pp. 179 - 193
• Main Authors: Houam, Lotfi, Hafiane, Adel, Boukrouche, Abdelhani, Lespessailles, Eric, Jennane, Rachid
• Format: Journal Article
• Language: English
• Published: London Springer London 01.02.2014; Springer; Springer Verlag
• Subjects: Applied sciences; Artificial intelligence; Biological and medical sciences; Computer Science; Computer science; control theory; systems; Engineering Sciences; Exact sciences and technology; Industrial and Commercial Application; Investigative techniques, diagnostic techniques (general aspects); Medical sciences; Osteoarticular system. Muscles; Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques; Pattern Recognition; Pattern recognition. Digital image processing. Computational geometry; Signal and Image processing; Local binary pattern; Osteoporosis; Texture characterization; Bone; Computer vision; Texture analysis; Texturation; X ray radiography; Pattern recognition; Similarity solution; Texture; Osteoarticular system; Microarchitecture; Image projection; Classification; Medical application; Local binary pattern Bone

The evaluation of osteoporotic disease from X-ray images presents a major challenge for pattern recognition and medical applications. Textured images from the bone microarchitecture of osteoporotic and healthy subjects show a high degree of similarity, thus drastically increasing the difficulty of c...