A novel humanitarian technology for early detection of cervical neoplasia: ROI extraction and SR detection

摘要

Cervical cancer is a common form of cancer in developing countries. Through screening programs it can be preventable. During colposcopy, Specular Reflections(SR) comes as a heavily bright spot and generate problems in the image analysis of the cervix. This occurs due to the present of fluids and the cervix being convex in shape and due to the illumination generated from the colposcope. In this paper, SRs are detected and filled by performing top-hat filtering, global thresholding, different morphological operations and a novel filling algorithm. The main concern is to detect AW regions. The non-ROI portion contains unnecessary information that confuses and creates problems in the detection of different tissues present in the cervix. The ROI is extracted by considering hue (H) and value (V) from HSV color space, so that the boundary of the colposcopy image i.e. the cervix is extracted. Finally our Algorithm on the ROI is compared with the expert markings and statistical metrics are computed. This is an ongoing novel Humanitarian Technology in detection of Cervical Cancer.