Fuzzy Segmentation Of Natural Scenes Using Fractal Geometry

James M. Keller; Thomas Downey

doi:10.1117/12.960297

27 March 1989 Fuzzy Segmentation Of Natural Scenes Using Fractal Geometry

James M. Keller, Thomas Downey

Proceedings Volume 1002, Intelligent Robots and Computer Vision VII; (1989) https://doi.org/10.1117/12.960297
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States

Abstract

Segmentation of an image into meaningful regions is a crucial component in intelligent scene understanding. In images of natural scenes there is a high degree of variability and uncertainty in the features which represent the regions and objects. In previous papers, new features, based on fractal geometry, were introduced to describe natural textured regions. In this paper, those fractal features are utilized as descriptors in segmentation algorithms which produce fuzzy partitions of the image plane. In particular, segmentation schemes based on the fuzzy K-nearest-neighbors and split-and-merge are implemented to segment digital images.

Citation Download Citation

James M. Keller and Thomas Downey "Fuzzy Segmentation Of Natural Scenes Using Fractal Geometry", Proc. SPIE 1002, Intelligent Robots and Computer Vision VII, (27 March 1989); https://doi.org/10.1117/12.960297

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