A nonlinear laplace operator as edge detector in noisy images
Computer Vision, Graphics, and Image Processing
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Watershed-based segmentation and region merging
Computer Vision and Image Understanding
Algorithms for Graphics and Imag
Algorithms for Graphics and Imag
Handbook of Computer Vision Algorithms in Image Algebra
Handbook of Computer Vision Algorithms in Image Algebra
Goal-Directed Evaluation of Binarization Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image languages in intelligent radiological palm diagnostics
Pattern Recognition
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
Application of shape description methodology to hand radiographs interpretation
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Modified jakubowski shape transducer for detecting osteophytes and erosions in finger joints
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part II
On the extraction and classification of hand outlines
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning
Improved fuzzy entropy algorithm for x-ray pictures preprocessing
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Development of a joint space width measurement method based on radiographic hand images
Computers in Biology and Medicine
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In this paper, the first stage of studies concerning the computer analysis of hand X-ray digital images is described. The images are preprocessed and then skeletization of the fingers is carried out. Then, the interphapangeal and metacarpophalangeal joints are detected and contoured. Joint widths are also measured. The obtained results largely concur with those obtained by other authors-see Beier et al. [Segmentation of medical images combining local, regional, global, and hierarchical distances into a bottom-up region merging scheme, Proc. SPIE 5747 (2005) 546-555], Klooster et al. [Automatic quantification of osteoarthritis in hand radiographs: validation of a new method to measure joint space width, Osteoarthritis and Cartilage 16 (1) (2008) 18-25], Ogiela et al. [Image languages in intelligent radiological palm diagnostics, Pattern Recognition 39 (2006) 2157-2165] and Ogiela and Tadeusiewicz [Picture languages in automatic radiological palm interpretation, Int. J. Appl. Math. Comput. Sci. 15 (2) (2005) 305-312].