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Fast Contour Line Extraction Algorithm with Selective Thresholding According to Line Continuity by Takashi Nishimura; Tsuyoshi Fujimoto is a Computer Science article available to read on EtoBox.

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## Abstract This paper describes a new contour line extraction algorithm which makes better contour line continuation and accelerates processing speed. When obtaining a contour line from an original gray‐scale image, the contour line extraction algorithm generally requires the following conditions: extracted contour lines representing a good feature of the original image; less invalid data such as noise; contour line width is one pixel thickness; and better contour connectedness. Many contour line extraction algorithms have been proposed. However, usually the user has employed the contour line extraction algorithm selecting by experience and a sixth sense. In the conventional method, differential operators are carried out on an original image with thresholding at a given value. Afterward, a thinning operation is carried out to obtain a one‐pixel thickness contour line. However, this process takes considerable computing time because the thinning process needs recursive processing. The new algorithm presented here carries out the process which performs the edge detection and thinning operation simultaneously eliminating the extra step. The process is effectively integrated in two way

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Author

Takashi Nishimura; Tsuyoshi Fujimoto

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0882-1666)

Published

1994

Language

EN

Field

Computer Science (Physical Sciences)