A Survey on Medical Image Segmentation
Abstract: Image segmentation may be a method of partition of a picture into completely different objects. there's a major distinction between image sweetening and segmentation. In image sweetening method is to boost the given image quality with relation to image look (brightness, contrast, texture). In this segmentation method, the actual portion of a image is highlighted in keeping with the matter outlined. Here during this paper we have a tendency to see the performance of the varied algorithms for various pictures. Medical image process desires continuous enhancements in terms of techniques and applications to assist improve quality of services in health care business. The techniques used for interpolation, image registration, compression, diagnosis area unit to be improved to be abreast with growing demands within the business and rising technologies bearing on mobile computing and cloud computing. the combination of medical instrumentation and applications with wearable devices is additionally promising space for more analysis. This paper provides helpful insights into the sphere of medical image process and tries to outline the longer term scope of labour.
Keywords: Medical image processing MIP, medical diagnosis, MIP methods and applications
How to Cite?: Gagandeep Kaur, Jyotirmoy Chhaterji, "A Survey on Medical Image Segmentation", Volume 6 Issue 5, May 2017, International Journal of Science and Research (IJSR), Pages: 1305-1311, https://www.ijsr.net/getabstract.php?paperid=ART20173326, DOI: https://dx.doi.org/10.21275/ART20173326