Segmentation of Ultrasound image is an important task in medical imaging system. Ultrasound imaging is a common modality used for detecting fibroids. Fibroid is predominant among woman of childbearing age where the secretion of estrogen hormone is significant. The most crucial factor is that the presence of fibroid can cause infertility and repeated miscarriage. Automatic segmentation of ultrasound image is a difficult task as it suffers from speckle noise. This paper proposes a method based on MMIC (Modified Morphological Image Cleaning) algorithm for filtering, canny edge detector and morphology methods. The proposed algorithm was implemented in MATLAB. It also extracts the necessary features of the fibroid which can be used to prepare the radiological report.