Issue No. 02 - February (1981 vol. 3)
ISSN: 0162-8828
pp: 208-210
Shmuel Peleg , Computer Vision Laboratory, Computer Science Center, University of Maryland, College Park, MD 20742.
Azriel Rosenfeld , Computer Vision Laboratory, Computer Science Center, University of Maryland, College Park, MD 20742.
ABSTRACT
Blum's medial axis transformation (MAT) of the set S of 1's 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¿, 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.
INDEX TERMS
CITATION

A. Rosenfeld and S. Peleg, "A Min-Max Medial Axis Transformation," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 3, no. , pp. 208-210, 1981.
doi:10.1109/TPAMI.1981.4767082