A Review of Image Segmentation Methods

Yujie Li; Huimin Lu; Shiyuan Yang; Seiichi Serikawa; Yuhki Kitazono

IIAE CONFERENCE SYSTEM, The 1st IEEE/IIAE International Conference on Intelligent Systems and Image Processing 2013 (ICISIP2013)

Yujie Li, Huimin Lu, Shiyuan Yang, Seiichi Serikawa, Yuhki Kitazono

Last modified: 2013-10-01

Abstract

With the rapid development of computer technology and digital medical imaging equipment, medical imaging technology has made a rapid development. Its principle is with the energy and the biology of some kind of interaction, extract information about biological tissue or organs in the body shape, structure and some physiological function, then provides for the organization of biological research and clinical diagnosis. There are x-ray imaging, ultrasonic imaging, magnetic resonance imaging, radionuclide imaging and so on. We can check body, analysis lesions with qualitative and quantitative, provide detailed and accurate information about disease without anatomical. In this paper, we proposed some segmentation methods for getting better results in medical image segmentation systems.

Keywords

review, image segmentation

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