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http://dx.doi.org/10.9728/dcs.2015.16.2.235

Modeling of Various Digital Leaves Using Feature-based Image Warping  

Kim, Jin-Mo (Catholic University of Pusan, Department of Software)
Publication Information
Journal of Digital Contents Society / v.16, no.2, 2015 , pp. 235-244 More about this Journal
Abstract
This study proposes a leaf modeling method that uses feature-based warping for efficient generation of various digital leaves. The proposed method uses warping method, one of image processing application techniques that can control various shapes of leaves in an easy, intuitive way, and generate natural patterns of veins efficiently. First, information on approximated contour is detected from a leaf blade image to identify the shape of a blade. Based on this, control line is automatically calculated to be used for feature-based warping. Then, control line-based warping is conducted to modify forms of leaf blade images in an intuitive way, automatically generating leaves of various shapes. And natural vein patterns are generated by applying a contour-based venation growth algorithm from contour information of the modified leaf blade images. This study performs experiments to verify whether various shape of leaves that comprise plants can be efficiently generated using a sample binary image of a blade. Also, we demonstrate that express the natural growth of leaves by applying warping to the growth of the leaf blade.
Keywords
Digital Leaf; Feature-based Warping; Leaf Deformation; Leaf Venation Pattern; Image Processing;
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Times Cited By KSCI : 2  (Citation Analysis)
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