A Combined Approach on RBC Image Segmentation through Shape Feature Extraction

Joint Authors

Wang, Ruihu
Fang, Bin

Source

Mathematical Problems in Engineering

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-20, 20 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-03-29

Country of Publication

Egypt

No. of Pages

20

Main Subjects

Civil Engineering

Abstract EN

The classification of erythrocyte plays an important role in clinic diagnosis.

In terms of the fact that the shape deformability of red blood cell brings more difficulty in detecting and recognize for operating automatically, we believed that the recovered 3D shape surface feature would give more information than traditional 2D intensity image processing methods.

This paper proposed a combined approach for complex surface segmentation of red blood cell based on shape-from-shading technique and multiscale surface fitting.

By means of the image irradiance equation under SEM imaging condition, the 3D height field could be recovered from the varied shading.

Afterwards the depth maps of each point on the surfaces were applied to calculate Gaussian curvature and mean curvature, which were used to produce surface-type label image.

Accordingly the surface was segmented into different parts through multiscale bivariate polynomials function fitting.

The experimental results showed that this approach was easily implemented and promising.

American Psychological Association (APA)

Wang, Ruihu& Fang, Bin. 2012. A Combined Approach on RBC Image Segmentation through Shape Feature Extraction. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-1001402

Modern Language Association (MLA)

Wang, Ruihu& Fang, Bin. A Combined Approach on RBC Image Segmentation through Shape Feature Extraction. Mathematical Problems in Engineering No. 2012 (2012), pp.1-20.
https://search.emarefa.net/detail/BIM-1001402

American Medical Association (AMA)

Wang, Ruihu& Fang, Bin. A Combined Approach on RBC Image Segmentation through Shape Feature Extraction. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-1001402

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1001402