Title :
Boundary-constrained morphological skeleton minimization and skeleton reconstruction
Author :
Pai, Tun-Wen ; Hansen, John H L
Author_Institution :
Dept. of Electr. Eng., Duke Univ., Durham, NC, USA
fDate :
2/1/1994 12:00:00 AM
Abstract :
A new algorithm for minimizing a morphological skeleton entitled boundary-constrained skeleton minimization (BCSM), as well as a new algorithm for reconstructing an original image from its minimized skeletal structure termed boundary-constrained skeleton reconstruction (BCSR), are proposed. The new algorithms are shown to reduce data storage requirements from (N+1) binary images represented as separate skeleton subsets with their corresponding indices, to 2 binary images composed of a binary morphological skeleton and its corresponding morphological boundary structure. In addition to a reduction in memory storage, BCSM and BCSR result in substantial savings in computational complexity. The proposed algorithms are evaluated in the context of image analysis and coding, and their performance is compared to previous algorithms proposed by Serra (1982, 1988) and by Maragos and Schafer (1986). Sample evaluations indicate a greater than 22-fold savings in computational requirements and 11-fold reduction in memory requirements
Keywords :
computational complexity; image processing; mathematical morphology; binary morphological skeleton; boundary-constrained morphological skeleton minimization; boundary-constrained skeleton reconstruction; computational complexity; data storage requirement reduction; image analysis; image coding; morphological boundary structure; Image reconstruction; Joints; Optical sensors; Pattern analysis; Pattern recognition; Photometry; Reflectivity; Shape; Skeleton; Surface morphology;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on