NDLI: An Edge Detection Algorithm Based on Improved CANNY Operator

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An Edge Detection Algorithm Based on Improved CANNY Operator

Content Provider	IEEE Xplore Digital Library
Author	Xun Wang Jian-Qiu Jin
Copyright Year	2007
Description	Author affiliation: Zhejiang Gongshang Univ., Hangzhou (Xun Wang; Jian-Qiu Jin)
Abstract	Edge detection is an important aspect for image processing, and primary step of spatial data extraction in geography information system. For contour detection, this paper proposed the improved template algorithm, which is not only including the gradient directions of X and Y, but also the first order partial finite differences of directions 45 and 135 degree in calculating the amplitude values. These mostly improved the calculation accuracy of the amplitude values. In the non-maxima suppression process, the factor ratio of four quadrants of linear interpolation is improved to achieve better detection results. Experiments showed that this improved CANNY algorithm has better noise suppression and edge continuity.
Starting Page	623
Ending Page	628
File Size	275285
Page Count	6
File Format	PDF
ISBN	9780769529769
DOI	10.1109/ISDA.2007.6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-20
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interpolation Image analysis Image edge detection Image processing Educational institutions Data mining Application software Intelligent systems Pixel Remote sensing
Content Type	Text
Resource Type	Article

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