Automatic segmentation of fiducial marks using attribute-based mathematical morphology

Chang-Ming Sun; Xiaoliang Wu

doi:10.1117/1.1344186

1 April 2001 Automatic segmentation of fiducial marks using attribute-based mathematical morphology

Chang-Ming Sun, Xiaoliang Wu

Journal of Electronic Imaging, Vol. 10, Issue 2, (April 2001). https://doi.org/10.1117/1.1344186

This paper described a fast and automatic method for segmenting fiducial marks in an image taken with a metric camera. These marks could be at the four corners, four middle sides, or inside an image (re´seau marks). The segmentation was realized by using attribute-based mathematical morphology techniques. The attributes that we used in the morphology processing step were the area, aspect ratio, and orientation of the best fitted ellipse of an object. The algorithm took about 0.25 s in the automatic segmentation stage. The positions of these automatically segmented fiducial marks were then refined to subpixel accuracy. Dozens of real images with different shapes of fiducial marks were tested and reliable results were obtained. Accuracy comparisons were made using our method and previously published methods.

©(2001) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Chang-Ming Sun and Xiaoliang Wu "Automatic segmentation of fiducial marks using attribute-based mathematical morphology," Journal of Electronic Imaging 10(2), (1 April 2001). https://doi.org/10.1117/1.1344186

Published: 1 April 2001

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