Dang-en Xie
Information and Network Center, Xuchang University, Xuchang, Henan, China
Zhili Zhang
Information and Network Center, Xuchang University, Xuchang, Henan, China
Dan Xu
Depatment of Computer Science and engineer, Yunnan University, Kunming, China
ABSTRACT
For the traditional image abstraction methods are not well preserved edge information, this study propose an image abstraction method based on the local extremum filter. First, calculate the maximum and minimum values of each pixel on its neighborhood. Second, replace the current pixel value with the weighted value. At last, use the DoG edge detecting operator to enhance the smoothed image to obtain the final abstract image. The experiment shown, this method has a better smooth effect than others, especially on area smoothing and edge preserving.
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How to cite this article
Dang-en Xie, Zhili Zhang and Dan Xu, 2013. An Image Abstraction Algorithm based on Local Extremum Filtering. Information Technology Journal, 12: 7586-7591.
DOI: 10.3923/itj.2013.7586.7591
URL: https://scialert.net/abstract/?doi=itj.2013.7586.7591
DOI: 10.3923/itj.2013.7586.7591
URL: https://scialert.net/abstract/?doi=itj.2013.7586.7591
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