A Kind of Watershed Image Segmentation Method Based on Combination Pre-Processing

Abstract:

Article Preview

The watershed algorithm has been widely used in image segmentation for its characteristics of accurately positioning edge, simple operation and etc. But it also has drawbacks of easy to over-segmentation and loss important outline for the character of sensitive to noise. Aiming at the problem of over-segmentation of watershed algorithm, the paper brought out an improved image segmentation algorithm based on watershed, which can limit the number of existing regions that are allowed with combination pre-processing steps, so that the over-segmentation problem can be better solved. The result of experiment also verifies the correctness and feasibility of the proposed algorithm in the paper.

Info:

Periodical:

Advanced Materials Research (Volumes 121-122)

Edited by:

Donald C. Wunsch II, Honghua Tan, Dehuai Zeng, Qi Luo

Pages:

320-324

DOI:

10.4028/www.scientific.net/AMR.121-122.320

Citation:

J. X. Wang et al., "A Kind of Watershed Image Segmentation Method Based on Combination Pre-Processing", Advanced Materials Research, Vols. 121-122, pp. 320-324, 2010

Online since:

June 2010

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.