An Approach for Accurate Edging using Dynamic Membership Functions

Authors

1 Young Researchers and Elite Club, Central Tehran Branch, Islamic Azad University, Tehran, Iran

2 Electrical Engineering Department, Islamic Azad University Central Tehran Branch, Tehran, Iran,

Abstract

In this paper, by means of fuzzy approaches, an accurate method is introduced for edging of color photographs. The difference between our method with other similar methods is the use of a morphological operation to think or thick the obtained edges. In this proposed method, a 3×3 window is dragged on the photo. For each block, 12 point sets will be defined, each including two non-overlapping point sets. Then, a fuzzy membership function will be designed for each point sets according to data of contrast. At last, the range of membership contrast degree for the points of second point sets will be assessed. A comparison of membership degree of second point sets with a pre-defined threshold indicates whether central point of window is bordered or non-bordered. The method was performed on some reference images and the results were compared with common edging methods. The results show that proposed method has a high capability to edge photographs

Keywords


[1]
Duarte, A., Sanchez, A., Fernandez, F., Montemayor, A. S., “Improving Image Segmentation Quality Through Effective Region Merging Using a Hierarchical Social Metaheuristic”, Pattern Recognition Letters, Vol.27, pp.1239-1251, 2006.
[2]
Hampton, C., Persons, T., Wyatt, C., “Survey of Image Segmentation”, 2000.
[3]
McCane, B., “Edge Detection”, Course Note, Department of Computer Science, University of Outage, Dunedin, Newzeland, Feb. 2001.
[4]
Gonzalez, R. C., Woods, R. E., “Digital image processing”, Addison-Wesley, 2000.
[5]
Eghbal, E., Mansoori, G., Eghbali, H. J., “Heuristic Edge Detection Using Fuzzy Rule-based Classifier”, Journal of Intelligent and Fuzzy System, Vol.17, pp.457- 469, 2006.
[6]
Gao, H., Siu, W. C., Hou, C. H., “Improved Techniques for Automatic Image Segmentation”, IEEE Trans. Circuits and Systems for Video Technology, Vol.11, pp.1273–1280, 2001.
[7]
Montoya, M. D. G., Gil, C., Garcia, I., “The Load Unbalancing Problem for Region Growing Image Segmentation Algorithms”, J. Parallel Distrib. Comput., Vol.63, pp.387-395, 2003.
[8]
Suliman, C., Boldoisor, C., Bazavan, R., Moldoveanu, F., “A Fuzzy Logic Based Method for Edge Detection”, Bulletin of Transilvania University of Brasov, Engineering Sciences,. Vol.4, pp.159-164, 2011.
[9]
Borkhoda, W., Akhlaqian tab, F., Shahryan, O., “Fuzzy Edge Detection Based on Pixel`s Gradient and Standard Deviation Values”, Proceedings of the International Multiconference on Computer Science and Information Technology, pp.7–10, 2009.
[10]
Afsari, F., Koohimoghadam, M., Nekoohimahane, M., Nezamabade, H., “A New Fuzzy Edge Detection Using Dynamic Membership Functions”, 8th conference of Intelligent Systems, Ferdowsi University of Mashhad, 2008.