An Improved Watershed Segmentation Method of Medical Image

Yu Bin Jiao; Yan Lei Xu; Chao Feng

doi:10.4028/www.scientific.net/AMM.719-720.1009

Paper Titles

A Multi-Focus Image Fusion Based on Wavelet and Block-Dividing
p.988

Sixth-Second Order Normalized Cumulants Blind Equalization Algorithm Based on T/4 Oversampling
p.994

Video Analysis of Conflict Situations at T-Intersection with Cranked Priority
p.1000

An Improved Filter Method of Medical Image
p.1005

An Improved Watershed Segmentation Method of Medical Image
p.1009

Adaptive Fusion of Multi-Biometrics for Human Identification in Video
p.1013

Application of Morphological Filtering Technology in Underwater Acoustic Signal Preprocessing
p.1019

A Novel 2-D Spectrum Model for Bistatic SAR Based on Hyperbolic Approximation
p.1023

A Symmetric Image Encryption Scheme Base on Hyperchaotic System
p.1030

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 719-720An Improved Watershed Segmentation Method of...

An Improved Watershed Segmentation Method of Medical Image

Abstract:

The image segmentation is very important in medical image processing. The paper studies the watershed segmentation, and over-segmentation is the main problem of watershed. Based on this, the paper proposed an improved watershed medical image segmentation method. And the corresponding simulation is done and the result show that the method can resolve the over-segmentation of watershed and can achieve good segmentation.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 719-720)

Pages:

1009-1012

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.719-720.1009

Citation:

Cite this paper

Online since:

January 2015

Authors:

Yu Bin Jiao, Yan Lei Xu*, Chao Feng

Keywords:

Medical Image, Morphological Gradient Construction, Segmentation, Watershed Transform

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] WANG Shu, LI Yong-ning, CHEN Kai-ming, Medical Image Segmentation Based on Mathematical Morphology, Journal of Computer Application, 2005, 25(10): 2381-2382.

Google Scholar

[2] LIU Xi-ying, WU Shu-quan, XU Xiang-min., Medical Image Segmentation Based on region growing arithmetic, Journal of Chongqing University of Posts and Telecommunications, 2004, 16(2)：49-51.

Google Scholar

[3] Volker M, Christian T , Thoma s L, Segmentation of medical images by feature tracing in a selfdual morphological sale-space, In : SPIE[C] , 2001 , 4322 : 139-150.

Google Scholar

[4] Kim Jong - Bae , Kim Hang – Joon, Multiresolution – based watersheds for efficient image segmentation, Pattern Recognition Letters, 2003, 24: 473 - 488.

DOI: 10.1016/s0167-8655(02)00270-2

Google Scholar

[5] CHEN Xiaomei, NI Guoqiang, LIU Mingqi. On infrared image segmentation algorithm based on watershed [J]. Journal of Optoelectronics·Laser, 2001, 12 (10): 1072-1075.

Google Scholar

[6] Haris K, Ef stratiadis S N , Maglavera s N , et al, Hybrid image segmentation using watersheds and fast region merging, IEEE Transactions on Image Processing, 1998, 7 (12) : 1684-1699.

DOI: 10.1109/83.730380

Google Scholar

[7] Benoit O, Veronique H C, Kpalma K, The cooperation of mathematical morphology and region growing for remote sensing image segmentation, In: SPIE [C]. 1995, 2579: 375-386.

DOI: 10.1117/12.226855

Google Scholar

[8] Wang Xiaopeng, Luo Jinwen, Watershed Segmentation Based on Morphological Gradient Reconstruction, Journal of Optoelectronics·Laser, 2005, 16(1): 98-101.

Google Scholar

[9] Rafael C. Gonzalez, Richard E. Woods, Digital Image Processing(MATLAB Edition), Beijing: Publishing House of Electronics Industry, (2005).

Google Scholar