scholarly journals Image Processing Techniques and Data Mining Algorithms for Coffee Plant’s Leaves Classification

Author(s):  
Khenilyn P Lewis
Author(s):  
Alessandro Massaro ◽  
Angelo Galiano

The chapter analyzes scientific approaches suitable for industrial security involving environment health monitoring and safety production control. In particular, it discusses data mining algorithms able to add hidden information important for security improvement. In particular k-means and artificial intelligence algorithms are applied in different cases of study by discussing the procedures useful to set the model including image processing and post clustering processing facilities. The chapter is focused on the discussion of information provided by data mining results. The proposed model is matched with different architectures involving different industrial applications such as biometric classification and transport security, railway inspections, video surveillance image processing, and quarry risk evaluation. These architectures refer to specific industry projects. As advanced applications, a clustering analysis approach applied on thermal radiometric images and a dynamic contour extraction process suitable for oil spill monitoring are proposed.


Author(s):  
B.V.V. Prasad ◽  
E. Marietta ◽  
J.W. Burns ◽  
M.K. Estes ◽  
W. Chiu

Rotaviruses are spherical, double-shelled particles. They have been identified as a major cause of infantile gastroenteritis worldwide. In our earlier studies we determined the three-dimensional structures of double-and single-shelled simian rotavirus embedded in vitreous ice using electron cryomicroscopy and image processing techniques to a resolution of 40Å. A distinctive feature of the rotavirus structure is the presence of 132 large channels spanning across both the shells at all 5- and 6-coordinated positions of a T=13ℓ icosahedral lattice. The outer shell has 60 spikes emanating from its relatively smooth surface. The inner shell, in contrast, exhibits a bristly surface made of 260 morphological units at all local and strict 3-fold axes (Fig.l).The outer shell of rotavirus is made up of two proteins, VP4 and VP7. VP7, a glycoprotein and a neutralization antigen, is the major component. VP4 has been implicated in several important functions such as cell penetration, hemagglutination, neutralization and virulence. From our earlier studies we had proposed that the spikes correspond to VP4 and the rest of the surface is composed of VP7. Our recent structural studies, using the same techniques, with monoclonal antibodies specific to VP4 have established that surface spikes are made up of VP4.


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