DocumentCode
3456539
Title
Novel Contour Vectorization Using Holistic Feature of Object
Author
Lu Qichao ; Yang Guang ; Gao Feng
Author_Institution
Sch. of Comput. Sci. & Eng., BeiHang Univ., Beijing, China
fYear
2010
fDate
21-23 Oct. 2010
Firstpage
1
Lastpage
6
Abstract
In this paper, a novel contour vectorization approach based on holistic feature of object is proposed, which aims at avoiding segmenting an entire contour of target into some discrete sets of curves. This method consists of two steps:(1) Digitize pixel-based contour into vectors or arcs referring to holistic feature of object, and the contour trend used in the implementation of vectorization is defined here;(2)Approximate vectors and arcs to regular figures, including various postprocessing treatments. Innovative and significant features of this approach includes: preservation of original contour shape; low-loss of performance in noisy environments; linear time complexity and neglectable space complexity. The experimental results obtained confirm the validity of the proposed approach.
Keywords
computational complexity; computer vision; feature extraction; object detection; contour vectorization; discrete set; holistic object feature; linear time complexity; noisy environment; pixel based contour; postprocessing treatment; regular figure; space complexity; Complexity theory; Feature extraction; Humans; Noise; Noise measurement; Pixel; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-7209-3
Electronic_ISBN
978-1-4244-7210-9
Type
conf
DOI
10.1109/CCPR.2010.5659170
Filename
5659170
Link To Document