Abstract
AbstractActive contours are used in the image processing application including edge detection, shape modeling, medical image-analysis, detectable object boundaries, etc. Shape is one of the important features for describing an object of interest. Even though it is easy to understand the concept of 2D shape, it is very difficult to represent, define and describe it. In this paper, we propose a new method to implement an active contour model using Daubechies complex wavelet transform combined with B-Spline based on context aware. To show the superiority of the proposed method, we have compared the results with other recent methods such as the method based on simple discrete wavelet transform, Daubechies complex wavelet transform and Daubechies complex wavelet transform combined with B-Spline.
Publisher
Springer Science and Business Media LLC
Reference46 articles.
1. Jain AK, Zhong Y, Lakshmanan S (1996) Object Matching Using Deformable Templates. IEEE Transactions on Pattern Analysis and Machine Intelligence 18(3):267–278
2. Kass M, Witkin A, Terzopoulos D (1988) Snakes: Active contour models, International Journal of Computer Vision, 1(4):321--331, ISSN 0920-5691. http://link.springer.com/article/10.1007/BF00133570
3. Szekely G, Kelemen A, Brechbuhler C, Gerig G (1996) Segmentation of 2-D and 3-D objects from MRI volume data using constrained elastic deformations of flexible Fourier contour and surface models. Med Image Anal 1(1):19–34
4. Lewis FL, Gurel A, Bogdan S, Doganalp A, Pastravanu OC, Wong YY, Yuen PC, Tong CS (1998) Segmented snake for contour detection. Pattern Recogn 31(11):1669–1679
5. Gunn SR, Nixon MS (1998) Global and local active contours for head boundary extraction. Int J Comput Vis 30(1):43–54
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