A Survey of Diverse Segmentation Methods in Image Processing

Abstract

The importance of image-processing techniques has increased across a wide range of applications as a result of advancements in computer technology. An important stage in the processing of images is segmenting of images. The process of breaking a picture into groups that each have their own distinct characteristics and similar characteristics, such as intensity, texture, class, culture and colour is known as segmentation. Image segmentation has been done with many different algorithms and methods. In this article, study reviews various image segmentation technologies. This paper covered many segmentation methods, including Threshold, Edge Detection, Region-based, Neural Network Image Segmentation and Clustering in any economy to increase the quality of life. This study is helpful in deciding how to best apply image segmentation techniques, as well as in enhancing their precision and effectiveness, in order to achieve the main goal of developing new algorithms.