Author : V. Anitha 1
Date of Publication :21st September 2016
Abstract: Polycystic Ovary Syndrome is a problem in which a woman’s hormones are out of balance. The cysts are not harmful but leads to hormone imbalances. Early diagnosis and treatment can help to control the symptoms and prevent long term problems. This paper presents a novel in three stage follicle detection and segmentation using Anistropic diffusion algorithm of Ultrasound images. This system has pre-processing, enhancement, morphological operations and follicle extraction. The proposed system performs a follicle region extraction, using Modified Contrast Limited Adaptive Histogram Equalization [MCLAHE] transform algorithm and Weighted Median Filter Algorithm. The performance analysis is performed using confusion matrix. In this Result we focus mainly on MCLAHE based segmentation, this approach is analyzed by Confusion Matrix Performance. Our future work is package development and GUI development using MATLAB Package Tools.
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