Contour reconstruction for scaling of digital binary images

Author

Koplowitz, Jack

Author_Institution

Dept. of Electr. & Comput. Eng., Clarkson Univ., Potsdam, NY, USA

fYear

2003

fDate

23-25 June 2003

Firstpage

127

Lastpage

131

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.

Keywords

curve fitting; edge detection; image colour analysis; image reconstruction; 4-directional chain code; coarse grid digitization; contour reconstruction; digital binary image scaling; digitized boundary interpretation; digitized representation; edge contour; image black region; image white region; preimage boundary determination; small curving object; square cell grid; subpixel accuracy; upward scaling; Digital images; Encoding; Function approximation; Image converters; Image reconstruction; Image segmentation; Least squares approximation; Lifting equipment; Pixel; Quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing in Industrial Applications, 2003. SMCia/03. Proceedings of the 2003 IEEE International Workshop on

Print_ISBN

0-7803-7855-5

Type

conf

DOI

10.1109/SMCIA.2003.1231357

Filename

1231357