Evaluation of a segmentation algorithm designed for an FPGA implementation

Kurt Schwenk; Maria Schönermark; Felix Huber

doi:10.1117/12.2028660

17 October 2013 Evaluation of a segmentation algorithm designed for an FPGA implementation

Kurt Schwenk, Maria Schönermark, Felix Huber

Proceedings Volume 8892, Image and Signal Processing for Remote Sensing XIX; 889208 (2013) https://doi.org/10.1117/12.2028660
Event: SPIE Remote Sensing, 2013, Dresden, Germany

Abstract

The present work has to be seen in the context of real-time on-board image evaluation of optical satellite data. With on board image evaluation more useful data can be acquired, the time to get requested information can be decreased and new real-time applications are possible. Because of the relative high processing power in comparison to the low power consumption, Field Programmable Gate Array (FPGA) technology has been chosen as an adequate hardware platform for image processing tasks. One fundamental part for image evaluation is image segmentation. It is a basic tool to extract spatial image information which is very important for many applications such as object detection. Therefore a special segmentation algorithm using the advantages of FPGA technology has been developed. The aim of this work is the evaluation of this algorithm. Segmentation evaluation is a difficult task. The most common way for evaluating the performance of a segmentation method is still subjective evaluation, in which human experts determine the quality of a segmentation. This way is not in compliance with our needs. The evaluation process has to provide a reasonable quality assessment, should be objective, easy to interpret and simple to execute. To reach these requirements a so called Segmentation Accuracy Equality norm (SA EQ) was created, which compares the difference of two segmentation results. It can be shown that this norm is capable as a first quality measurement. Due to its objectivity and simplicity the algorithm has been tested on a specially chosen synthetic test model. In this work the most important results of the quality assessment will be presented.

Citation Download Citation

Kurt Schwenk, Maria Schönermark, and Felix Huber "Evaluation of a segmentation algorithm designed for an FPGA implementation", Proc. SPIE 8892, Image and Signal Processing for Remote Sensing XIX, 889208 (17 October 2013); https://doi.org/10.1117/12.2028660

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
11 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image segmentation

Image processing

Image filtering

Field programmable gate arrays

Digital filtering

Image quality

Filtering (signal processing)

Show All Keywords

Keywords/Phrases

Search In:

Publication Years