IMAGE SEGMENTATION TECHNIQUES FOR SCINTIGRAPHY IMAGE SEGMENTATION

Scintigraphy image segmentation is an inspiring task in the field of image segmentation, as the capturization of scintigraphy images is made through the gamma camera having the ability to detect infected body cells. The injection of radioactive substance in human body is made through a vein in foot or hand. Emission of radiations of this substance are useful for the identification of infected body cells. This paper majorly concerns over the region-based segmentation, edge-based segmentation and thresholding methods for image segmentation. ChanVese model in region-based image segmentation is of major interest, which is an active contour model useful for object detection where the detection of boundary through gradient is not necessary. Chan-Vese model is highly recommendable for solving the problem of energy minimization by following the level set functions. Various research papers over scintigraphy image segmentation, Chan-Vese model, and thresholding methods for image segmentation are discussed in this review paper.