| |
| |
|
|
|
|
| Enhanced Morphological Contour Representation and Reconstruction using Line Segments
|
|
Full
text: |
PDF(320.4KB) |
|
|
Source |
International Journal of Image Processing (IJIP) |
|
Table of Contents |
|
|
Download
Complete Issue PDF(14.28MB) |
|
Volume: 3 Issue: 6 |
| |
Pages: 265-384 |
|
Publication
Date: January 2010 |
|
ISSN
(Online): 1985-2304 |
|
|
|
|
|
Pages |
301 - 309 |
|
Author(s) |
|
|
|
Published
Date |
31-01-2010 |
|
Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
|
ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
| |
|
| |
KEYWORDS: closing, opening, representation, shape |
|
|
| |
|
|
| This Manuscript is indexed in the following databases/websites:- |
|
| 1. Directory of Open Access Journals (DOAJ) |
| 2. OpenJ-Gate |
| 3. PDFCAST |
| 4. Docstoc |
| 5. Scribd |
| 6. Google Scholar |
| 7. WorldCat |
| 8. ScientificCommons |
| 9. Bielefeld Academic Search Engine (BASE) |
| 10. Academic Index |
| 11. refSeek |
| 12. ResearchGATE |
| 13. Socol@r |
| 14. iSEEK |
| |
|
| |
|
|
| The paper proposes an enhanced morphological contour/edge representation algorithm for the representation of 2D binary shapes of digital images. The concise representation algorithm uses representative lines of different sizes and types to cover all the significant features of the binary contour/edge image. These well characterized representative line segments, which may overlap among different types, take minimum representative points than that of most other prominent shape representation algorithms including MST and MSD. The new algorithm is computationally efficient than most other algorithms in the literature and is also capable of approximating edge images. The approximated outputs produced by the proposed algorithm by using minimal number of representative points are more natural to the original shapes than that of MST and MSD. |
| |
|
| |
|
| |
| 1 |
P. E. Trahanias, “Binary shape recognition using themorphological skeleton transform,” Pattern Recognit., vol. 25, no. 11, pp. 1277–1288, 1992. |
|
|
| 2 |
P. Yang and P. Maragos, ªMorphological Systems for Character Recognition,º Proc. IEEE Int'l Conf. Acoustics and Speech and Signal Processing, pp. 97-100, 1993. |
|
|
| 3 |
G.K. Matsopoulos and S. Marshall, ªUse of Morphology Image Processing Techniques for the Measurement of Fetal Head from Ultrasound Images,º Pattern Recognition, pp. 1,317-1,324, 1994. |
|
|
| 4 |
P. A. Maragos and R. W. Schafer, “Morphological skeleton representation and coding of binary images,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 34, no. 5, pp. 1228–1244, 1986. |
|
|
| 5 |
I. Pitas and A. N. Venetsanopoulos, “Morphological shape decomposition,” IEEE Trans. Pattern Anal. Machine Intell., vol. 12, no. 1, pp.38–45, 1990. |
|
|
| 6 |
F.L.Miller, J.Maeda, H.Kubo, “Template Based Method of Edge Linking Using a Weighted Decision,”IEEE International Conf.on Intelligent Robots and Systems, Japan, pp.1808-1815, July 1993. |
|
|
| 7 |
I. Pitas and A. N. Venetsanopoulos, “Morphological shape representation,” Pattern Recognit., vol. 25, no. 6, pp. 555–565, 1992. |
|
|
| 8 |
B.D. Ackland and N. Weste, ªThe Edge Flag AlgorithmÐA Fill Method for Raster Scan Display,º IEEE Trans. Computers, vol. 30, pp. 41-47, 1981. |
|
|
| 9 |
J.M.Reinhardt and W. E. Higgins, “Efficient morphological shape representation,” IEEE Trans. Image Processing, vol. 5, pp. 89–101, Jan. 1996. |
|
|
| 10 |
Y. M. Y. Hasan and L. J. Karam, “Morphological reversible contour representation,” IEEE Trans. Pattern Anal. Machine Intell., vol. 22, no. 3, pp. 227–240, 2000. |
|
|
| 11 |
J. Xu, "Efficient Morphological Shape Representation with Overlapping Disk Components", IEEE Trans.Image Processing, vol. 10, no. 9, pp 1346- 1356, September 2005. |
|
|
| 12 |
Justin Varghese et al, "An efficient Morphological Reversible Contour/Edge Representaion using overlapping Line Components". IEEE Xplore Digital Library. |
|
|
| 13 |
R. S. Jasinschi and J. M. F. Moura, “Content-based video sequence representation,” Proc. IEEE Int. Conf. Image Processing, 1995. |
|
|
| 14 |
P. Salembier, P. Brigger, J. R. Casas, and M. Pardas, “Morphological operators for image and video compression”, IEEE Trans. Image Processing,vol. 5, pp. 881–897, June 1996. |
|
|
| 15 |
G. Lu, “An approach to image retrieval based on shape,” J. Inform. Sci.,vol. 23, no. 2, pp. 119–127, 1997. |
|
|
| 16 |
J. Xu, “Morphological decomposition of 2-D binary shapes into simpler shape parts,” Pattern Recognit. Lett., vol. 17, no. 7, pp. 759–769, 1996. |
|
|
| 17 |
A.C.P. Loui, A.N. Venetsanopoulos, and K.C. Smith, “Morphological Autocorrelation Transform: A New Representation and Classification Scheme for Two- Dimensional Images”, IEEE Trans.Image Processing, vol. 1, pp. 337-353, July 1992. |
|
|
| 18 |
M. Charif and D. Schonfeld, ”On the Invertability of Morphological Representation of Binary Images”, IEEE Trans. Image Processing, vol. 3, pp. 847-849, Nov. 1994. |
|
|
| 19 |
Z. Cai,”Restoration of Binary Images Using Contour Direction Chain Codes Description”, Computer Vision, Graphics, and Image Processing, vol. 41, pp. 101-106, 1988 |
|
|
| |
|
| |
|
| |
| |
|
| |
|
| |
| |
|
| |
|
| |
|
| Santhosh.P.Mathew : Colleagues
|
|
| Saudia Subhash : Colleagues
|
|
| Philip Samuel : Colleagues
|
|
| Justin Varghese : Colleagues
|
|
|
|
|
|
|
|
|
|
|