The purpose is to develop some vigorous tool to analyse the nature of cancerous cell by using image processing methods so that they can be used in automate diagnostic techniques, reducing the cost and increasing the accuracy of conventional test procedures. The approach taken combines a mix of image processing techniques and methods. Uterine Cervical Cancer is one of the most commonforms of cancer in women worldwide. Papanicolou test abbreviated as Pap test has been used and has decreased the death rate among women. We focus on the cervical borders of the digital colposcopic images so that we have a measurable boundaryon the image. When a cell has some abnormalities, it is the nucleus which shows some changes from its normal one and thus it is important to study the nucleus frontier. Further, the Pap test reduces the number of trainers to analyse the samples.
image processing, Uterine cervical cancer
