NDLI: Gray scale processing of hydrographic maps

Content Provider	IEEE Xplore Digital Library
Author	Trier, O.D. Taxt, T. Jain, A.K.
Copyright Year	1996
Description	Author affiliation: Dept. of Inf., Oslo Univ., Norway (Trier, O.D.)
Abstract	This paper investigates how gray scale information can be used in a hydrographic map understanding system to improve the system performance. To process gray scale scanned map images, we have implemented a topographic analysis method and a binary analysis method. In addition, deconvolution of the gray scale map image was used as an optional preprocessing step for both the methods. Both the methods process the input image by extracting binary print components, recognizing long lines, splitting touching digits and recognizing the digits. The topographic analysis extracts the information by computing topographic labels for each pixel, while the binary analysis is based on locally adaptive thresholding of the gray scale image. The performance of each method was evaluated by measuring the recognition performance of the digit recognition module. Experimental results indicate that the computationally intensive deconvolution and topographic analysis does not improve system performance. The same high performance is achieved by binary analysis, provided a high quality locally adaptive binary method is used.
Starting Page	870
Ending Page	874
File Size	617949
Page Count	5
File Format	PDF
ISBN	081867282X
ISSN	10514651
DOI	10.1109/ICPR.1996.547292
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-08-25
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image analysis Image recognition Information analysis System performance Deconvolution Data mining Geographic Information Systems Image converters Informatics Computer science
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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