Morphed Sobel Approach For Detecting Cancer Cells In Lungs

  Vasu Kalaria,  Priyadarsini S

One of the gravest health problem has been lung cancer in the world in the present scenario. Automatic detection of lung cancer has provided a cutting-edge in the field of medical technology. This is because identifying cancer cells in lungs has been a tedious task as scarce or probably no symptoms are obtained in the premature stage of the disease. This project was undertaken to contribute in the field by using different techniques to identify and optimize the occurrence of cancer cells in lungs. Not only more treatment options are available, but also the increase in survival rates is observed when cancer patients are treated in their premature stages. Change in gradient provides an excellent way to identify objects present in an image. Morphing techniques play a very important role in the process of finding gradient in the images. Any edge detection methods can be applied on any type of medically computed images, like CT scan, X-Ray, MRI or Ultrasound; in which the objects inside the lungs are obtained. Here the use of Computed Tomography scan images have been made because these images are exceptional in identifying nodules as small as 2-3 mm in lungs. This technique was developed using MATLAB 8.1. A new approach named Morphed Sobel Approach has been proposed which makes use of Sobel edge detection algorithm along with a handful of Morphological operators to reduce the noise level as much as possible, and provide better image output that can be compared with the original image and the difference can be viewed with the naked eye. The framework will make use of any color type of CT scan image, i.e., RGB, Gray-scale or Binary, that contains some visualized objects by naked eye. Application of Morphological operators used day-to-day in every digital image processing operations. Moreover the paper provides the implementation of modified edge detection process which consists of Sobel followed after Morphing and comparison of the results obtained by the proposed method with the already existing method.

Keywords- Morphological Operators, Edge Detection, Sobel Operator, Image Processing, CT scan, Lung cancer, Matlab.

Unique Identification Number - IJEDR1402077
Page Number(s) - 1751-1758
Pubished in - Volume 2 | Issue 2 | June 2014
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Vasu Kalaria,  Priyadarsini S,   "Morphed Sobel Approach For Detecting Cancer Cells In Lungs", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 2, pp.1751-1758, June 2014, Available at :http://www.ijedr.org/papers/IJEDR1402077.pdf