Active Contour Model based Segmentation of Colposcopy Images from Cervix Uteri using Gaussian Pyramids
نویسندگان
چکیده
A new segmentation algorithm based on an active contour model at multiple scales, using the Gaussian Pyramid is performed on colposcopic images. The segmentation outlines a specific feature from the cervical images the Transformation Zone. A new snake the boundarysearching snake, based on both image gradient features and region features is implemented, starting from the low image resolution level, aiming to avoid a specific artifact in the images-known as a specular reflection. Further, the snake coordinates are propagated to the highest level of the GP, segmenting one of the most complex and variable anatomical shapes -the cervix uteri.
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