A Technique For Automatic Design Of Image Segmentation Algorithms

Firooz Sadjadi; Hatem Nasr

doi:10.1117/12.960436

30 August 1989 A Technique For Automatic Design Of Image Segmentation Algorithms

Firooz Sadjadi, Hatem Nasr

Proceedings Volume 1098, Aerospace Pattern Recognition; (1989) https://doi.org/10.1117/12.960436
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

Abstract

Image segmentation is an essential step in every practical image processing system. Current image segmentation algorithms suffer from a well known problem- They have poor performances on images different from the ones that were used in their initial development and training stages. In this paper we discuss a system concept for automatic design of segmentation algorithms based on image and objects metrics, and knowledge of image processing primitives.The proposed system concept makes makes use of Planning techniques, discussed in Artificial Intelligence.This paper provides the essential elements of the next generation Automatic Segmentation Design (ASD) systems that will not be scenario dependent. Applications of this concept include robotic vision, automatic target recognition, and image understanding systems.

Citation Download Citation

Firooz Sadjadi and Hatem Nasr "A Technique For Automatic Design Of Image Segmentation Algorithms", Proc. SPIE 1098, Aerospace Pattern Recognition, (30 August 1989); https://doi.org/10.1117/12.960436

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