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A Min-Max Medial Axis Transformation
MARYLAND UNIV COLLEGE PARK COMPUTER VISION LAB
Pagination or Media Count:
Blums Medial Axis Transformation MAT of the set S of 1s in a binary picture can be defined by an iterative shrinking and reexpanding process which detects corners on the contours of constant distance from S-bar, and thereby yields a skeleton of S. For unsegmented gray level pictures, one can use an analogous definition, in which local MIN and MAX operations play the roles of shrinking and expanding, to compute a MMMAT value at each point of the picture. The set of points having high values defines a good skeleton for the set of high-gray-level points in the given picture.
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