TITLE:
Mammogram Images Thresholding for Breast Cancer Detection Using Different Thresholding Methods
AUTHORS:
Moumena Al-Bayati, Ali El-Zaart
KEYWORDS:
Breast Cancer; Mammogram; Segmentation; Threshold; Otsu Method
JOURNAL NAME:
Advances in Breast Cancer Research,
Vol.2 No.3,
June
27,
2013
ABSTRACT:
The purpose of this study is to apply different thresholding
in mammogram images, and then we will determine which technique is the best in
thresholding (extraction) malignant and benign tumors from the rest breast
tissues. The used technique is Otsu method, because it is one of the most
effective methods for most real world views with regard to uniformity
and shape measures. Also, we
present all the thresholding methods that used the concept of between class variance.
We found from the experimental results that all the used thresholding
techniques work well in detection normal breast tissues. But in abnormal
tissues (breast tumors), we found that only neighborhood valley emphasis method
gave best detection of malignant tumors. Also, the results demonstrate that
variance and intensity contrast technique is the best in extraction the micro
calcifications which represent the first signs of breast cancer.