Comparison of Diffrent Thresholding Techniques for Image Segmentation

Abstract

Image segmentation is a prominent area of the research field. Several research works has been performed under this field but still there is a requirement of more improvements in the techniques used for this. Image segmentation is process which is implemented on an image in order to highlight those areas of the image which can be proved more meaningful and informative. Segmentation is the process of sectioning the digital image into number of regions which are called as pixels. Many algorithms have been developed which can be used for the purpose of image segmentation[4]. Some of the techniques are clustering based segmentation methods, compression based segmentation method, splits and merge technique, threshold based segmentation method, Histogram based segmentation etc. this paper focuses on the Thresholding based image segmentation techniques. There is a brief introduction to the various segmentation techniques and along with their procedures. This work can be beneficial for choosing the suitable segmentation technique according to the need of the environment.