Automatic segmentation of skin and bone in CT images using iterative thresholding and morphological image processing

Author

Ho Chul Kang ; Yeong-Gil Shin ; Jeongjin Lee

Author_Institution

Sch. of Comput. Sci. & Eng., Seoul Nat. Univ., Seoul, South Korea

fYear

2014

fDate

22-25 June 2014

Firstpage

1

Lastpage

2

Abstract

In this paper, we propose a fast and efficient method to extract skin and bone automatically. First, we smooth the images by applying anisotropic diffusion filter to remove noise. Then, the whole body is detected by using thresholding which is set automatically. In addition, we segment the contour of the skin by using morphological operators and connected component labeling (CCL). Finally, we extract the bone with iterative thresholding.

Keywords

biodiffusion; bone; computerised tomography; filtering theory; image segmentation; iterative methods; medical image processing; skin; CCL; CT images; anisotropic diffusion filter; automatic image segmentation; bone segmentation; connected component labeling; iterative thresholding; morphological image processing; morphological operators; noise removal; skin contour extraction; skin segmentation; whole body detection; Bones; Computed tomography; Educational institutions; Image segmentation; Iterative methods; Noise; Skin; iterative thresholding; morphology; segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on

Conference_Location

JeJu Island

Type

conf

DOI

10.1109/ISCE.2014.6884320

Filename

6884320