Morphological segmentation of binary shapes into convex polygons

Jianning Xu

doi:10.1117/12.58799

1 March 1992 Morphological segmentation of binary shapes into convex polygons

Jianning Xu

Proceedings Volume 1615, Machine Vision Architectures, Integration, and Applications; (1992) https://doi.org/10.1117/12.58799
Event: Robotics '91, 1991, Boston, MA, United States

Abstract

Mathematical morphology is an approach to image analysis based on geometric concept of shape and size. Naturally, it provides a very effective tool for shape analysis. In this paper, we present a new morphological shape segmentation algorithm which decomposes a 2-D binary shape into a class of convex polygonal components. In this algorithm, shape information is extracted by using a number of different small shape patterns as structuring elements to probe the given shape through basic morphological operations. Basic morphological operations are also used to transform the given image so that in the transformed image global shape information is still retained and can be extracted efficiently by using only 'neighborhood' operations. The resulting algorithm is very simple and yet very effective. Decomposition examples presented show good agreements between the decomposition results and the natural structures of the given shapes. The shape segments produced can be used to construct structural shape description and for other shape analysis purposes.

Citation Download Citation

Jianning Xu "Morphological segmentation of binary shapes into convex polygons", Proc. SPIE 1615, Machine Vision Architectures, Integration, and Applications, (1 March 1992); https://doi.org/10.1117/12.58799

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available