Beschreibung
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. Thats why lot of research is going on image segmentation. Mathematical Morphologys 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
Autorenporträt
Dr. Joseph Prakash Mosiganti was awarded Ph.D in Computer Science and Engineering from JNTU Kakinada University, His M.Tech in CSE from JNTU Campus, Hyd., and he obtained B.Tech from Andhra University in 1996. He is currently working as Professor and Dean of CSE and IT Departments, Methodist College of Engineering and Technology.
Herstellerkennzeichnung:
OmniScriptum SRL
Str. Armeneasca 28/1, office 1
2012 Chisinau
MD
E-Mail: info@omniscriptum.com
