Image Segmentation Techniques with Remote Sensing Perspective-A Review

A methodological study on need of image-processing and its various applications in computer artificial intelligence based carried out here. Due to the advent of computer field image-processing approach have become rapidly needed in a various applications. During an image-processing operation the input given is a picture and its output is an improved high quality picture as per the approach used. Image-processing usually defined as digital image-processing, but optical and analog image-processing also are possible. This field is classic subject in the image-processing and also is a hotspot and focus of approach. Several generally many algorithms and approach have been developed for in this field of image-processing. There exist many image segmentation approaches, which partition the picture into different parts based on certain image features like image Pixel, image intensity value, image color, image texture, etc. These approaches are classified based on the image segmentation method used. In this paper the various image segmentation approach are revised and finally a comparison of their disadvantages and advantages are listed. Our study provides an introduction to image-processing along with segmentation approach, systematic vision fundamentals and its applied applications that will be of useful to the image-processing and computer artificial intelligence based research field.