Performance Measure as Feedback Variable in Image Processing
<p/> <p>This paper extends the view of image processing performance measure presenting the use of this measure as an actual value in a feedback structure. The idea behind is that the control loop, which is built in that way, drives the actual feedback value to a given set point. Since th...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2006-01-01
|
Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://dx.doi.org/10.1155/ASP/2006/27848 |
id |
doaj-0c074114aa3e40fe9d1d5e46117f40de |
---|---|
record_format |
Article |
spelling |
doaj-0c074114aa3e40fe9d1d5e46117f40de2020-11-25T00:55:22ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802006-01-0120061027848Performance Measure as Feedback Variable in Image ProcessingRistić DanijelaGräser Axel<p/> <p>This paper extends the view of image processing performance measure presenting the use of this measure as an actual value in a feedback structure. The idea behind is that the control loop, which is built in that way, drives the actual feedback value to a given set point. Since the performance measure depends explicitly on the application, the inclusion of feedback structures and choice of appropriate feedback variables are presented on example of optical character recognition in industrial application. Metrics for quantification of performance at different image processing levels are discussed. The issues that those metrics should address from both image processing and control point of view are considered. The performance measures of individual processing algorithms that form a character recognition system are determined with respect to the overall system performance.</p> http://dx.doi.org/10.1155/ASP/2006/27848 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ristić Danijela Gräser Axel |
spellingShingle |
Ristić Danijela Gräser Axel Performance Measure as Feedback Variable in Image Processing EURASIP Journal on Advances in Signal Processing |
author_facet |
Ristić Danijela Gräser Axel |
author_sort |
Ristić Danijela |
title |
Performance Measure as Feedback Variable in Image Processing |
title_short |
Performance Measure as Feedback Variable in Image Processing |
title_full |
Performance Measure as Feedback Variable in Image Processing |
title_fullStr |
Performance Measure as Feedback Variable in Image Processing |
title_full_unstemmed |
Performance Measure as Feedback Variable in Image Processing |
title_sort |
performance measure as feedback variable in image processing |
publisher |
SpringerOpen |
series |
EURASIP Journal on Advances in Signal Processing |
issn |
1687-6172 1687-6180 |
publishDate |
2006-01-01 |
description |
<p/> <p>This paper extends the view of image processing performance measure presenting the use of this measure as an actual value in a feedback structure. The idea behind is that the control loop, which is built in that way, drives the actual feedback value to a given set point. Since the performance measure depends explicitly on the application, the inclusion of feedback structures and choice of appropriate feedback variables are presented on example of optical character recognition in industrial application. Metrics for quantification of performance at different image processing levels are discussed. The issues that those metrics should address from both image processing and control point of view are considered. The performance measures of individual processing algorithms that form a character recognition system are determined with respect to the overall system performance.</p> |
url |
http://dx.doi.org/10.1155/ASP/2006/27848 |
work_keys_str_mv |
AT risti263danijela performancemeasureasfeedbackvariableinimageprocessing AT gr228seraxel performancemeasureasfeedbackvariableinimageprocessing |
_version_ |
1725230567999406080 |