A Comparative Study about Region Based and Model Based Using Segmentation Techniques
In recently innovative technologies are emerging trends in the field of Image processing, mainly min the domain knowledge segmentation techniques. A comparative study in Image region based and model based segmentation is the most uncertain functions in image processing and analysis. Segmentation is the process of simplifying and/or changing the representation of any image either region based and model based segmentation into something that is more meaningful and easier to analyze. Image region based segmentation is typically used to locate objects and boundaries in images. Basically image segmentation consequences influence all the subsequent processes of image analysis such as object description and illustration, characteristic dimension, This paper present a brief outline about the some common segmentation techniques used in image processing techniques like region based, Model based, Edge based, Clustering etc., mentioning its advantages as well as drawbacks.