Image Segmentation by Using Threshold Techniques

Abstract

Image segmentation (IS) is a procedure by which provided picture can be subdivided into many segments and to observe every segment included in the image. The desired result could be searched by observing them and that information we get is helpful for high standard machine vision software. The difficulties of IS has large problems for computer vision. Many procedures which came under IS are Edge based IS (EBIS), Region based IS (RBIS), Threshold based IS (TBIS). The result of observing image which is relying upon the reliability of IS, but exact division of a picture is most difficult issue. The technique we are using in this article is thresholding based segmentation (TBS). The studied article of IS by reader is beneficial for analyzing the suitable IS techniques and also for improvement of efficiency, performance and major goal, that helps in building latest algorithms.