Open Access Open Access  Restricted Access Subscription or Fee Access

A Segmentation Algorithm for Lung Tumor CT Image

Jingjing Yang, Xiao Zhang, Zhanfu Wu, Benzhen Guo, Lun Yang

Abstract


This paper introduces a method for lung tumor CT image segmentation .The resolution of lung tumor CT image due to many factors , the marginal area of the lesion and the surrounding normal tissue region have almost the same gray scale, which makes the detection of the tumor area harder. This paper first de-noises the lung CT image by image preprocessing, then enhances the de-noised image with improved Nonsub-sampled on contourlet transform algorithm for more accurate shape and figure of the lung tumor. Using newly upgraded chan-vese image segmentation algorithm to obtain the valid area of lung tumor, comparing the segmentation results under different preprocessing methods, the experimental data introduced by this thesis show that the joint of gray scale expansion and Fourier transform acts best among all the mentioned preprocessing methods.

Keywords


lung tumor, image enhancement, NSCT transform , C-V segmentation.

Full Text:

PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.