DocumentCode
475626
Title
Constrained 2D Sketch Generation Based on Image Contour Detect
Author
Ying, Shen ; Zhiyang, Chen ; Zhiyong, Cai
Author_Institution
Comput. Sci. Coll., Zhejiang Univ., Hangzhou
Volume
1
fYear
2008
fDate
3-4 Aug. 2008
Firstpage
295
Lastpage
298
Abstract
We proposed a method to auto-extract contour sketch from color image. Firstly, we get binary image through OTSU method, and then trace the contour of the binary image. Secondly, map the contour to the specified sketch plane. We use Hough Transform to detect all possible line segments in the contour, use Randomized Circle Detection algorithm to get all possible circular arcs, and then determine the break points of the contour according to the constraints between the fitted line segments and circular arcs. Finally, we refit the curve set by the global constraint formula based on the estimated curve type and constraints. Examples show that the method can recognize the curve type and corresponding constraints accurately, and can extract contour sketch from the color image as expected.
Keywords
Hough transforms; curve fitting; edge detection; feature extraction; image colour analysis; randomised algorithms; 2D sketch generation; Hough transform; OTSU method; auto-extract contour sketch; binary image; circular arcs; color image; image contour detect; randomized circle detection algorithm; Background noise; Color; Constraint optimization; Curve fitting; Educational institutions; Image generation; Image recognition; Image segmentation; Product design; Spline; Constrained fitting; Contour tracking; Hough transform; Sketch constrain;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
Conference_Location
Guangzhou
Print_ISBN
978-0-7695-3290-5
Type
conf
DOI
10.1109/CCCM.2008.306
Filename
4609518
Link To Document