A New Proposed Method for Image Segmentation Based on Gray Scale Morphological Transformations

Image segmentation is one of the most important steps leading to the analysis of processed data. Its main goal is to divide an Image into parts that have a strong correlation with Areas of the Real world contained in the Image .Image Segmentation by Mathematical Morphology is a Methodology based upon the notions of Reconstruction and Gradient method of an Image. Reconstruction is a very useful operator for Image Filtering, Segmentation, and Feature Extraction. In this paper a new Method is proposed based on the notion of regional maxima and makes use of Sequential reconstruction algorithm and Morphological Gradient .The present paper has two main sections, first is reconstruction of original Image from blurred Image by eliminating noise. Second is segment the Image by applying Morphological gradient method this method produced good result over conventional methods.