Lungs Cancer Detection from MRI Image
Using Image Processing Technique
Vipin Kumar Jain Dr. Ritu Vijay Lecturer , Department of Computer Science, HEAD ,Department of Electronics S.S.Jain Subodh P.G.College,Jaipur Banasthali University Research Schooler of Banasthali University
Email- [email protected]
Abstract: This paper is designed to detect the lungs caner from a MRI image, taken from a
particular angle. The image shows a big spot in left part of lung that may be suspicious object, from
which some part is extracted that is our ROI. Another sample of normal image is also extracted. We compare the intensity of value of both image samples and observe that cancer infected flash image
has very much variation in intensity values at many palaces while normal flash image don’t show any big variation in intensity values in image.
Keywords : Cancer detection, MRI ,ROI, Segmentation, Enhancement.
Introduction : The lungs are a pair of sponge with cone
shape. The right lung has three lobes and left lung has two lobes. The right lung is larger than the left lung. The oxygen is provided to
lung by inhaling process. The lungs tissue transfer oxygen to blood stream. The lung cancer is a disease of abnormal cells
multiplying and growing into a tumor cancer cells can be carried away from the lungs in
blood. Metastasis occurs when a cancer cell leaves the site where it began and move into a lymph node or to another part of the body
through the blood stream[1]. The lung cancer often spread toward the centre of the chest
because the natural flow of lymph out of the lungs is toward the centre of the chest. There are several different type of lung cancer
and these are divided into main two category ; small cell lung cancer and non-small cell lung cancer which has three subtypes ; Carcinoma,
Aden carcinoma and squamous cell Carcinomas. It is observed that lung cancer
ranked second among males and 10th among females[2]. The image processing technique are used
widely in various medical areas for improving earlier detection and treatment stages. The
time factor is very important to discover the disease in the patient as possible as fast, especially in various Cancer tumors like lung
cancer, breast cancer. The early detection of lung cancer is very important for successful treatment.
Methodology: Lungs MRI image taken from a particular Angle
Region of Interest (ROI)
Grayscale image Sample of Cancer infected Flash
Grayscale image Sample of Normal Flash
Vipin Kumar Jain et al, Int.J.Computer Technology & Applications,Vol 4 (2),179-181
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ISSN:2229-6093
IJCTA | Mar-Apr 2013 Available [email protected]
This method of lungs cancer detection follow some steps :
we take MRI images of lungs, taken from different angles.
Choose suspected image and extract the suspect part of the image.
Take a image sample of suspect part of
image. Take a image sample of normal side of
image.
Compare the intensity values of both sample images.
It is found that cancer infected grayscale image sample has a big variation in pixel intensity values at
some places
Steps : Acquiring Image from MRI Machine
Setting up ROI
Taking Sample of Suspected Cancer infected
Flash in Image Taking Sample of Normal Flash in Image
Comparing the Intensity Values of Both Image
The pixel intensity values of both samples of grayscale images shows that there is big
variation in pixels intensity values of cancer infected image. This method is helpful to detected the cancer at early stage.
Matlab coding to get pixels intensity values :
C=imread(„c:\infectsample.jpg‟); E=rgb2gray(C); Disp(E);
D=imread(„c:\normalsample.jpg‟); F=rgb2gray(D);
Disp(F);
CANCER AFFECTED SAMPLE IMAGE MATRIX VALUES
Columns 1 through 24 4 4 5 5 5 4 3 2 2 2 2 2 1 0 0 1 0 0 0 0 0 0 0 1 4 4 5 5 5 4 3 2 2 2 2 2 1 0 0 0 0 0 0 0 0 0 0 1 4 4 5 5 5 4 3 2 2 2 2 2 1 0 0 0 0 0 0 0 0 0 0 1 3 3 3 4 4 4 3 2 1 1 2 2 1 0 0 0 0 0 0 0 0 0 0 1 2 2 2 2 2 3 3 2 1 1 1 2 1 1 1 0 0 0 1 1 0 0 0 0 2 2 1 1 1 3 3 2 0 0 1 1 1 1 1 0 0 0 1 1 0 0 0 0 1 1 0 0 0 2 2 1 0 0 1 1 1 1 1 0 0 0 1 1 0 0 0 0 1 1 0 0 0 2 1 1 0 0 1 1 1 1 1 0 0 0 1 1 0 0 0 0 1 1 0 0 0 1 1 0 0 0 0 0 1 1 1 1 1 1 1 1 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 2 3 3 3 3 3 3 2 2 2 2 2 2 2 1 0 0 0 0 0 0 0 0 0 3 3 4 4 4 4 4 3 2 2 2 2 1 0 0 0 0 1 1 1 0 0 0 0 3 3 4 4 4 4 4 3 2 2 2 2 1 0 0 0 0 1 1 1 0 0 0 0 3 3 4 4 4 4 4 3 2 2 2 2 1 0 0 0 0 1 1 1 0 0 0 0 3 3 4 4 4 4 4 3 2 2 2 2 1 0 0 0 0 1 1 1 0 0 0 0 2 2 3 3 3 3 3 2 1 1 1 1 1 0 0 0 0 1 1 1 0 0 0 0 2 2 3 3 3 3 3 2 1 1 1 1 1 0 0 0 0 1 1 1 0 0 0 0 2 2 3 3 3 3 3 2 1 1 0 1 1 0 0 0 0 1 1 1 0 0 0 0 2 2 3 3 3 3 3 2 1 1 1 1 1 0 0 0 0 1 1 1 0 0 0 0 Columns 25 through 48 1 2 3 4 5 7 7 7 6 5 4 4 4 5 5 5 2 0 0 0 0 1 1 1 2 2 3 4 5 7 7 7 6 5 4 4 4 5 5 5 2 0 0 0 0 1 1 1 1 2 3 4 5 7 7 7 6 5 4 4 4 5 5 5 2 0 0 0 0 1 1 0 0 1 2 3 4 6 6 6 4 3 3 4 4 5 5 5 2 0 0 0 0 1 1 1 0 0 1 2 3 4 4 4 3 3 2 3 4 4 4 4 2 1 1 1 0 1 1 1 0 0 1 1 3 3 3 2 1 1 1 3 4 4 4 4 2 1 1 1 1 2 2 2 0 0 0 1 2 2 2 1 0 0 0 2 3 3 3 3 2 1 1 1 1 2 2 2 0 0 0 1 2 1 1 0 0 0 0 1 2 2 2 2 2 0 1 1 1 2 2 2 0 0 0 1 1 1 0 0 0 0 0 1 2 2 2 2 1 1 1 1 2 3 3 3 0 1 1 2 1 1 0 0 0 0 0 0 1 1 2 2 0 0 0 1 2 2 3 3 0 1 2 2 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 1 2 3 4 4 0 1 2 2 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 2 3 4 4 0 1 1 2 1 0 0 0 0 0 0 0 0 0 0 1 0 1 1 1 2 3 4 4 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 2 3 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 2 3 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 2 3 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 3 3 4 5 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 3 3 5 6 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 4 6 7 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 5 6 7 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 5 6 7 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 4 5 6 6 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 5 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 4 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 4 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 3 4 4 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 4 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 5 5 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 5 5 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 5 5 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 2 3 4 5 5 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 2 3 4 5 4 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 2 3 4 5 4 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 2 3 4 5 4 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2 2 3 5 5 4 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2 3 5 5 4 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 5 5 4 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 5 5 4 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 4 3 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 3 3 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 2 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 1 3 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 5 8 9 0 1 1 1 1 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 2 7 12 13 0 1 1 1 2 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 2 10 17 18 0 1 1 1 1 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 2 10 18 19 0 1 1 1 1 1 0 0 0 1 1 1 0 0 0 0 0 0 0 0 2 10 18 19
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NORMAL SAMPLE IMAGE MATRIX VALUES Columns 1 through 24 0 0 0 1 2 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 3 3 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 1 1 2 2 1 1 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 1 2 2 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 25 through 48 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 3 3 3 2 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 1 0 0 0 0 0 >>
Conclusion : After comparing the intensity values of both images , it is found that suspected cancer
infected image has a big variation in intensity values while normal flash image don‟t show
any major changes in surrounding pixels. Hence this method will be very helpful to dectect the cancer at early stage.
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Vipin Kumar Jain et al, Int.J.Computer Technology & Applications,Vol 4 (2),179-181
181
ISSN:2229-6093
IJCTA | Mar-Apr 2013 Available [email protected]