Detection of Cervical Cancer from Dark Cervical Cell Based Pap Smear Image

Abstract

Now a days, worldwide most of the women are affected by cervical cancer disease, since, day by day death rate of this disease become increased. So many researchers have focused keen interest in the field of detecting this disease and found some solutions also for that. But they proved more good results only in advanced high expensive techniques such as liquid based cytology, colposcopy not in very basic test of Pap Test. So the rich people they may able to do the high cost test and they will prevent from the disease. But poor people can’t do the same. Hence the reason basic test of pap test image based detection of cervical cancer techniques is proposed in this paper. The results of this technique proved a better solution than the advanced techniques. In this paper, we proposed automatic fast and effective bi-level Thresholding segmentation algorithm applied for segmenting dark portion of cervical cell nucleus from the original image and followed by effective pixel based feature extraction and classification is used for detecting cervical cancer. The final result would be more precise and useful to the histopathologists.