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CONCLUSIONS

 

We have developed a fast and fully automatic method for the segmentation of fiducial marks in an image. The location of the fiducial mark can be obtained if the fiducial has symmetry property. Therefore the process of interior orientation can be fully automated. The initial segmentation was obtained by using attribute-based morphology technique and it is shown to be a powerful tool for image filtering and feature detection. The algorithm takes about 0.25 seconds CPU time on a 160 tex2html_wrap_inline725 130 sub image. The method has the following advantages over other interior orientation methods: 1) minimal priori knowledge and input parameters; 2) does not have to use a fiducial mark database (if a database of fiducial marks is available, least squares matching can be used to obtain accurate location information); 3) totally automated fiducial location; 4) sub-pixel location accuracy; and 5) fast and reliable.

It will obviously open a scenario to perform fully automated interior orientation for those positive or negative images: taken from different cameras, scanned by different scanners, with different pixel size, and etc. The considered further work includes: 1) the segmentation for the most different fiducial marks such as Rollei camera's ``+'' fiducials; and 2) the internal decisive measure for self-diagnosis.



Changming Sun
Mon Dec 8 15:45:35 EST 1997