Date of Publication :17th May 2017
Abstract: Image segmentation is one of the most critical tasks in automatic image analysis or facilitating the delineation of anatomical structures and other regions of interest. It can be defined as a process of partitioning an image into multiple segments, so as to change the representation of an image into something that is more meaningful and easier to analyze. Ultrasound images plays a crucial role because the acquisition of these images is non invasive, cheap and does not require ionizing radiations compared to other medical imaging techniques. Due to acoustic interferences and artifacts, the automatic segmentation of anatomical structures in ultrasound imagery becomes a real challenge. Thus, to enhance the capabilities of ultrasound as a qualitative tool in clinical medicine, here discusses the ultrasound image segmentation methods, focusing on techniques developed for clinical application. And also discuss the formation of ultrasound images and different methods of image segmentation. Last section explains the classification based on filters for reducing the speckle noises.
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