  Uterine Cervical Cancer is one of the most common forms of cancer in women
worldwide. Most cases of cervical cancer can be prevented through screening
programs aimed at detecting precancerous lesions. During Digital Colposcopy,
colposcopic images or cervigrams are acquired in raw form. They contain
specular reflections which appear as bright spots heavily saturated with white
light and occur due to the presence of moisture on the uneven cervix surface
and. The cervix region occupies about half of the raw cervigram image. Other
parts of the image contain irrelevant information, such as equipment, frames,
text and non-cervix tissues. This irrelevant information can confuse automatic
identification of the tissues within the cervix. Therefore we focus on the
cervical borders, so that we have a geometric boundary on the relevant image
area. Our novel technique eliminates the SR, identifies the region of interest
and makes the cervigram ready for segmentation algorithms.
