Segmentation of textured images using fractal transformations

Takis Kasparis; Nattorn Pongratananukul

doi:10.1117/12.391934

17 July 2000 Segmentation of textured images using fractal transformations

Takis Kasparis, Nattorn Pongratananukul

Proceedings Volume 4044, Hybrid Image and Signal Processing VII; (2000) https://doi.org/10.1117/12.391934
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

This paper presents an approach to textured image segmentation based on a combination of fractal features. The traditionally fractal dimension obtained from the original and pre-processed images and is combined with fractal transformation coefficients. The latter are extracted using methodologies from image compression using Iterated Function Systems (IFS). Experiments have shown that coefficients used in IFS for image reconstruction can also be used as segmentation and classification features. Experimental results with various natural texture measures will be presented.

Citation Download Citation

Takis Kasparis and Nattorn Pongratananukul "Segmentation of textured images using fractal transformations", Proc. SPIE 4044, Hybrid Image and Signal Processing VII, (17 July 2000); https://doi.org/10.1117/12.391934

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