NDLI: Metrics for evaluation of lossy compression effects on digit recognition in SMD images

Content Provider	IEEE Xplore Digital Library
Author	Kosheleva, O.M. Mensoza, C.A. Perez, J.S. Cabrera, S.D.
Copyright Year	1999
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Texas Univ., El Paso, TX, USA (Kosheleva, O.M.)
Abstract	In this paper we define metrics for objective evaluation of the degradation caused by lossy compression on a specific image processing task. The study is done on gray-scale Surface Mounted Device (SMD) images degraded by lossy JPEG compression. We focus on evaluating the impact of the distortion on the extraction of a set of digits which form a label on top of the SMD component. A digit extraction systems is devised in order to isolate them and produce individual binary masks. Our approach is to compare the results of a simple digit extraction system from the uncompressed (reference) image with the results obtained from the compressed/decompressed version. The use our previously devised binary metrics to evaluate the distortion of the resulting binary masks of the digits. We then define and apply a new metric that directly measures the distortion as a distance in a feature space. The digit extraction is then improved using region growing and the compression distortion is evaluated using the new feature metric. The results show that this metric does not change considerably over a large range of compression rates. This metric also provides objective way of evaluating performance of bath processing methods in the presence of a compression/decompression step.
Starting Page	1147
Ending Page	1150
File Size	397765
Page Count	4
File Format	PDF
ISBN	0780354915
DOI	10.1109/MWSCAS.1999.867840
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-08-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Image recognition Degradation Transform coding Image processing Gray-scale Distortion measurement Extraterrestrial measurements Application software Digital images
Content Type	Text
Resource Type	Article

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