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Báo cáo hóa học: " Performance Measure as Feedback Variable in Image Processing"
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Performance Measure as Feedback Variable in Image Processing | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID 27848 Pages 1-12 DOI 10.1155 ASP 2006 27848 Performance Measure as Feedback Variable in Image Processing Danijela Ristic and Axel Graser Institute of Automation University of Bremen Otto-Hahn-Allee NW1 28359 Bremen Germany Received 28 February 2005 Revised 4 September 2005 Accepted 8 November 2005 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. Copyright 2006 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION Throughout the development of image processing systems nearly all research has been dedicated to design of new algorithms or to improvement of existing ones. In the last years a significant effort also has been devoted to quantitative performance assessment of different image processing methods 1 . In that image processing algorithms mostly have been considered on their own and developed performance measures have been used to evaluate the effectiveness of individual algorithms or to compare the different image processing algorithms 2 3 . However in practice an image processing system consists of serial image processing operations .