ACTIVE CONTOUR MODELS - A MULTISCALE IMPLEMENTATION FOR ANATOMICAL FEATURE DELINEATION IN CERVICAL IMAGES (MP-S1)

Author(s) : Viara Van Raad (The University of New South Wales, Australia)

Abstract : In the work presented here, digital colposcopic images from cervix uteri are subjected to a segmentation algorithm using active contour models at multiresolution levels, on images formed by a Gaussian Pyramid (GP). The segmentation aims to outline a specific feature from the cervical images - the Transformation Zone (TZ), where a possible neoplasia can occur. The process includes an implementation of a boundary-searching snake, based on both image gradient features and region features. The adaptive ``snake'' initially is executed on the image with the lowest resolution from the GP, aiming to avoid a specific artifact in these images, known as a specular reflection (SP). Further, the snake coordinates are propagated to the image with highest resolution from the GP. Under a specific set of parameters, we achieved accuracy close to 91% for the delineation of the TZ.

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