Based on Canny Operator with Regional Growth Combined Research on Accurate Image Segmentation Algorithm

Article Preview

Abstract:

In this paper, first we introduce the digital image algorithm of Canny edge detection, and then simulation results of Canny edge detection are given particularly. Test results show that the improved algorithm improves the accuracy of edge detection effectively. Secondly, the algorithm of the region growth, which algorithm is divided into two parts: one is growing region; the other is merging region, is realized. Finally, based on above analysis, we find out that a continuous boundary is not obtained by edge detection, and the method of regional extraction may produce transition segmentation. In response to these deficiencies, we present a region growth algorithm of edge detection.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

2088-2092

Citation:

Online since:

July 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Canny J.A. computational approach to edge detection[J]. IEEE Transactions on PAMI, 1986, 8(6): 669-698.

Google Scholar

[2] R. Deriche. Using Canny's Criteria to Derive a Recursively Implemented Optimal Edge Detector[J]. Int. J. Comput. Vision, 1987(1): 15-17.

DOI: 10.1007/bf00123164

Google Scholar

[3] Scharcanski J, Venetsanopoulos an Edge Detection of Color Images Using Directional Operators [J]. IEEE Trans Circuits and Systems of Video Technology, (1997).

DOI: 10.1109/76.564116

Google Scholar

[4] Sirithinaphong, Chamnongthait, Kosin. Extracting of car license plate using motor vehicle regulation and character pattern recognition[J]. IEEE Asia-Pacific Conferencon Circuits and Systems-proceedings, (1998).

DOI: 10.1109/apccas.1998.743881

Google Scholar

[5] Coetzee C. PC based number plate recognition systems [J]. Processing IEEE International Symosium on Industrial Electronics, (1998).

Google Scholar