arrow
Return

Efficient morphological shape representation

delete1996-01-01
delete33
PRE
AI
J
Joseph M. Reinhardt
W
William E. Higgins
DOI:10.1109/83.481673delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Mathematical morphology is well suited to capturing geometric information, Hence, morphology-based approaches have been popular for object shape representation, The two primary morphology-based approaches-the morphological skeleton and the morphological shape decomposition (MSD)-each represent an object as a collection of disjoint sets, A practical shape representation scheme, though, should give a representation that is computationally efficient to use, Unfortunately, little work has been done for the morphological skeleton and the MSD to address efficiency. We propose a flexible search-based shape! representation scheme that typically gives more efficient representations than the morphological skeleton and MSD, Our method decomposes an object into a number of simple components based on homothetics of a set of structuring elements, To form the representation, the components are combined using set union and set difference operations, We use three constituent component types and a thorough cost-based search strategy to find efficient representations. We also consider allowing object representation error, which may yield even more efficient representations.
Keywords:
BINARY IMAGES
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Image Processing cover
IEEE Transactions on Image Processing
IF:
13.7
Papers:
1.0W
Citations:
8.4W

Organization

No organization information available
Cited Papers

Cited Papers

errShare
errSave
Relation between Lymphocyte Subpopulations and Pineal Function in Patients with Early or Metastatic Cancer
err2006-12-17
err0
PREAI
errP. LISSONI; S. BARNI; G. TANCINI; S. CRISPINO; F. PAOLOROSSI; G. CATTANEO; V. LUCINI; M. MARIANI; D. ESPOSTI; G. ESPOSTI; F. FRASCHINI
errShare
errSave
errShare
errSave
researcher View more