DETECTION EARLY BREAST CANCER BY USING DIGITAL INFRARED IMAGE BASED ON ASYMMETRY THERMAL

Abstract

Breast cancer is a health risk main to woman. The
growth hardly quickly and can result death for patient.
Principal worked Digital infra-red mall imagery applied for
diagnosa non invasive which enable praktisis klinis do
visualisation and quantification of change of mall surface of
husk.
One of the methods for breast cancer detection is to
make comparisons between contralateral images. When the
images are relatively symmetrical, small asymmetries may
indicate a suspicious region. In thermal infrared (IR) imaging,
asymmetry analysis normally needs human intervention because
of the diculties in segmentation image processing. In order
toprovide a more objective diagnostic result, we describe an
automatic approach to asymmetry analysis in thermograms. It
includes automatic segmentation and supervised pattern
classication.