Toward an image segmentation benchmark for evaluation of vision systems

Edwige E. Pissaloux

doi:10.1117/1.1316090

1 January 2001 Toward an image segmentation benchmark for evaluation of vision systems

Edwige E. Pissaloux

Journal of Electronic Imaging, Vol. 10, Issue 1, (January 2001). https://doi.org/10.1117/1.1316090

This paper is a contribution to a benchmark concept definition and it proposes a set of image segmentation algorithms which should be included in any benchmark for vision system. The proposed alagorithms allow us to predict, estimate, and quantify many image/vision system parameters such as data acquisition rate, local and global system communications, machine capability to support recursive processings, data reorganization, different programming/ implementation models, system scalability, etc. The proposed three algorithms calculate: multithreshold image connect component labeling, image region identification (through two complementary steps: isotropic seed region growing and pixel fusion), and data reorganization. Formalized algorithms, which can be implemented on different plate-forms (sequential, parallel, distributed) supporting different programming and implementation paradigms (models) are given. Machine performance analysis and quantification via matching coefficients are proposed as well.

©(2001) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Edwige E. Pissaloux "Toward an image segmentation benchmark for evaluation of vision systems," Journal of Electronic Imaging 10(1), (1 January 2001). https://doi.org/10.1117/1.1316090

Published: 1 January 2001

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