Quantitative methods of evaluating image segmentation
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
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
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
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
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In this paper, the next stage of out studies concerning the computer analysis of hand X-ray digital images is described. An algorithm identifying the borders of the upper and lower joint surfaces on hand radiographs is proposed. It is based on local segmentation and profile plots analysis. The described algorithm achieved high efficiency -mean distance distribution signature for complete borders was equal to 0.118mm. Therefore, it can be applied both to trace development of hand joints diseases and analysis of bone contour shapes using syntactic methods.