NDLI: Contour reconstruction for scaling of digital binary images

Content Provider	IEEE Xplore Digital Library
Author	Koplowitz, J.
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Clarkson Univ., Potsdam, NY, USA (Koplowitz, J.)
Abstract	Binary images consist of a grid of square cells, which are colored either black or white depending on whether the center of the cell lies in this black or white region of the pre-image. Equivalently, the digitized boundary can be interpreted as a 4-directional chain code of the edge contour. We consider subpixel accuracy in determining the boundary of the pre-image and give a practical algorithm for its implementation. In particular we consider small curving objects digitized on a coarse grid. Experimental results show a high degree of reconstruction, allowing for the upward scaling of small objects from their digitized representation.
Starting Page	127
Ending Page	131
File Size	289368
Page Count	5
File Format	PDF
ISBN	0780378555
DOI	10.1109/SMCIA.2003.1231357
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-06-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image reconstruction Pixel Digital images Least squares approximation Quantization Function approximation Lifting equipment Image segmentation Encoding Image converters
Content Type	Text
Resource Type	Article

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