Automated cavity measurement using a region-growing algorithm
暂无分享,去创建一个
Abstract A digital image-processing technique based on a region-growing algorithm for cavity recognition was applied to micrographs of irradiation-induced voids and grain boundary cavities. As long as the resolution of the digitizing process was adequate, cavities were detected with at least an 80% efficiency for applications where illumination, low contrast, diffuse boundaries, and cavity internal structure made conventional analysis difficult. The accuracy of both manual and computer-based size measurements depended on how well boundaries could be defined. Although more work is needed to ensure reliable measurements for the range of conditions expected in materials characterization studies, this technique looks promising as the basis of an automated system for cavity analysis.
[1] W. J. Choyke,et al. The effects of sequential and simultaneous helium implantation on void formation in a 304 stainless steel , 1978 .
[2] T. M. Cannon,et al. Digital enhancement and analysis of TEM plates , 1981 .
[3] A. M. Savol,et al. Computer-aided recognition of small rounded pneumoconiosis opacities in chest X-rays , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] J. F. Mancuso,et al. The growth of grain boundary cavities under applied stress and internal pressure , 1979 .