Identification of Lung Cancer Cell using Watershed Segmentation on CT Images

nbsp S  Logesh kumar; M  Swathy; S  Sathish; J  Sivaraman  and M  Rajasekar

doi:10.17485/ijst/2016/v9i1/85765

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Identification of Lung Cancer Cell using Watershed Segmentation on CT Images

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2016/v9i1/85765

Year: 2016, Volume: 9, Issue: 1, Pages: 1-4

Original Article

Identification of Lung Cancer Cell using Watershed Segmentation on CT Images

S. Logesh kumar^1*, M. Swathy² , S. Sathish¹ , J. Sivaraman¹ and M. Rajasekar³

¹Department of Biomedical Engineering, Vel Tech Multitech, Chennai - 600062, Tamil Nadu, India; [email protected], [email protected], [email protected] ²Department of Biomedical Engineering, St. Peter’s University, Chennai - 600054, Tamil Nadu, India; [email protected] ³Department of Computer Science Engineering, Vel Tech Multitech, Chennai - 600062, Tamil Nadu, India; [email protected]

*Author For Correspondence
S. Logesh kumar
Department of Biomedical Engineering, Vel Tech Multitech, Chennai - 600062, Tamil Nadu, India; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

The detection of lung cancer through image processing is an important tool for diagnoses. Different methods were employed to detect the cancerous cell of a lung with image pre processing such as Gabor filter, image segmentation using watershed segmentation and feature extraction by using MATLAB. In this experiment, various Computed Tomography (CT) images of lung were used as input image and obtained the output image in JPEG format. The resultant output of this technique was evaluated. Based on the results, it shows that watershed segmentation technique is showed better results than other segmentation techniques for lung cancer cell identification.

Keywords: CT Lung Cancer Image, Image Segmentation, Thresholding Operation, Watershed Method