Detection of Ovary Cyst using Kirsch Template

Abstract: Ultrasound imaging of ovary is used to determine infertility problems. Now a days it is quite common. For effective treatment, information like shape, position, size and presence of cyst are important. Today detection of cyst is done by medical experts in non automatic way. This method often results inaccurate and incorrect determination. In this paper, a new automatic detection of follicles in ultrasound images of ovary is proposed. Four stages are involved like preprocessing, segmentation, feature extraction and classification. In preprocessing stage gaussian low pass filter is used for removing speckle noise in ultrasound image of ovary. Proposed algorithm use kirsch template for segmentation. Features extracted from the segmented image is used to classify normal ovary or cystic ovary