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International Journal of Engineering Trends and Technology (IJETT) – Volume 32 Number 3- February 2016
Comparison of Mammogram Database Image
and Cancerous image
Er. Kanchan Sharma#1, Er.Aditi Kalsh*2, Er.Priyanka Rana#3,
#
Assistant Professors, Electronics and Communication Engineering, Global College of Engineering and
Technology, Kahnpur Khui/Punjab Technical University, Jalandhar/India
Abstract — A cancer is one of the diseases. Its
reason is the abnormal growth of the cells. Breast
cancer is called breast disease which starts from the
tissues of breasts and spread in the breast. Ducts
and lobes are the areas where breast cancer resides.
When they are not controlled properly, they divide
and again obtain in the form of lumps or tumour,
which is breast tumor/cancer. Breast Cancer mostly
found in females.
Keywords — Image Pre-processing, Image
Enhancement, Image Segmentation and GLCM
features extraction.
I. INTRODUCTION
A cancer is a type of disease. The reason is
abnormal growth of the cells. Breast cancer
originates from the tissues of breast and it spreads in
the parts of breast and the parts of breast lobes or
ducts. When the cells of breast spread, they divide
and come into the form of lumps called breast cancer.
Mammography is the process used for identificating
the breast cancer. It shows the early breast cancer.
II. PROCEDURE
There are various methods for segmented the
mammogram images.
C Image Segmentation
Edge Detection method is used for extracting the
image edges.
III. GLCM FEATURE EXTRACTION
GLCM shows the pixel brightness of the image.
TABLE I
IV. GLCM FEATURE EXTRACION
Texture
Features
P1
Original
image values
P1
Cancerous
image
values
For Offset[0 1]
Contrast
Correlation
Energy
Homogeneity
.5295
.8803
.0972
.8375
2.2678
.7738
.7533
.9497
For Offset[-1 1]
Contrast
Correlation
Energy
Homogeneity
.8435
.7806
.0664
.7343
3.2001
.6641
.7398
.9429
For Offset[-1 0]
Contrast
Correlation
Energy
Homogeneity
.6730
.8448
.0769
.7787
2.7003
.7327
.7420
.9518
ForOffset[-1-1]
.
Contrast
Correlation
Energy
Homogeneity
.9459
.7803
.0665
.7358
A. Image Pre-Processing
This technique improves the quality of the
image and enhancing the image. The reason of
this reduction in noise only. It involves two
processes:
1) Noise reduction: The noise like written
labels, high intensity rectangular label, low
intensity label etc. These types of noise can
be removed by filters used in Digital Image
processing.
B. Image enhancement
This process is very useful to improve or trump
the quality of image. We have used global
thresholding for image enhancement.
ISSN: 2231-5381
3.1785
.6761
.7291
.9432
V. CONCLUSIONS
In this proposed work, we have compared the
mammogram original image parameter values and
its cancerous image values parameters. The
parameters are also called features. We have
extracted features -contrast, correlation, energy and
homogeneity and compare them.
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International Journal of Engineering Trends and Technology (IJETT) – Volume 32 Number 3- February 2016
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