Title :
Bone edge detection in hand radiographic images
Author :
Sharif, B.S. ; Zaroug, S.A. ; Chester, E.G. ; Owen, J.P. ; Lee, E.J.
Author_Institution :
Dept. of Electr. & Electron. Eng., Newcastle upon Tyne Univ., UK
Abstract :
A method for bone segmentation in hand radiographic images using an intensity based edge detection scheme is presented. Bone segmentation is an intermediate level processing stage for an automated vision system for skeletal assessment of children. An inherent problem with hand radiographic images is the uneven contrast that is manifested by an increasing intensity gradient from the distal phalanges to the carpal region. The intensity based edge detection approach exploits knowledge of boundary region intensities to remove extraneous edges and maintain bone edges. This approach has been tested on hand X-ray images from various age groups and results have shown a marked improvement in bone segmentation
Keywords :
bone; diagnostic radiography; edge detection; image segmentation; medical image processing; automated vision system; bone edge detection; bone segmentation; boundary region intensities; carpal region; children; distal phalanges; extraneous edges removal; hand radiographic images; increasing intensity gradient; intensity based edge detection scheme; medical diagnostic imaging; skeletal assessment; uneven contrast; Biological tissues; Bones; Detectors; Diagnostic radiography; Image edge detection; Image segmentation; Machine vision; Radiography; Testing; Working environment noise; X-ray imaging;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.411927
