Morphological Image Segmentation Methods for Textures

Over the last few years the use of automated machines has increased exponentially in the area of medical diagnosis smoke detection and agricultural applications. Texture segmentation plays a major role in all these applications. Enormous and in depth research has taken place on image segmentation still there is a need to extract segmented regions precisely. That''s why lot of research is going on image segmentation. Mathematical Morphology''s geometry-oriented nature provides a well organized and capable structure for studying object shape properties such as connectivity topology and size which cannot be simply retrieved by other approaches. The advantages of morphological treatment is region filling boundary detection noise filtering thickening skeletonizing quantitative description of objects (projections area perimeter) object marking shape simplification thinning convex hull object segmentation from background. Based on this morphological treatment is applied on the segmentation methods