Title :
Decomposition of arbitrarily shaped morphological structuring elements
Author :
Park, Hochong ; Chin, Roland T.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
fDate :
1/1/1995 12:00:00 AM
Abstract :
For image processing systems that have a limited size of region of support, say 3×3, direct implementation of morphological operations by a structuring element larger than the prefixed size is impossible. The decomposition of morphological operations by a large structuring element into a sequence of recursive operations, each using a smaller structuring element, enables the implementation of large morphological operations. In this paper, the authors present the decomposition of arbitrarily shaped (convex or concave) structuring elements into 3×3 elements, optimized with respect to the number of 3×3 elements. The decomposition is based on the concept of factorization of a structuring element into its prime factors. For a given structuring element, all its corresponding 3×3 prime concave factors are first determined. From the set of the prime factors, the decomposability of the structuring element is then established, and subsequently the structuring element is decomposed into a smallest possible set of 3×3 elements. Examples of optimal decomposition and structuring elements that are not decomposable are presented
Keywords :
image processing; mathematical morphology; 3×3 elements; arbitrarily shaped morphological structuring elements; decomposition; factorization; image processing systems; morphological operation; recursive operations; region of support; Computer science; Helium; Image processing; Morphological operations; Morphology; Notice of Violation; Shape; Terminology;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on