Diabetes is a worldwide disease which is one of the main reason for blindness in the older age of any human community world-wide. Advanced level of diabetes leads to retinal hemorrhage. There is no efficient algorithm to detect the presence of hemorrhage. We have surveyed many algorithms and also recognized their efficiency. A new algorithm is proposed to detect the presence of hemorrhage with maximum efficiency and accuracy. The algorithm works by partitioning the image into differentiated segments covering the entire retinal image. These segments are denoted by splats. Each splat here establishes a set of information which helps us to extract the appropriate boundary. The pixels are grouped by the similarity of the color, intensity and spatial location. Retinal ischemia and weak blood vessels are the main reasons for the occurrence of haemorrhage. The new algorithm is based on the segmentation which is grouped by the colour, intensity and the spatial of the entire image.
Mobile cloud computing (MCC) refers to an infrastructure in which data processing and storage can take place far from mobile devices. The convergence of compact registration and network distributed computing has created scalable distributed computing. This technology provides consumers a number of points of interest, similar to storage limits, reliability, scalability and access to real-time information. As a result, it is expanding steadily and is undoubtedly organised into a daily day-to-day life. The Cloud servers can be used for the preparation and storage of information.However, in the current conditions, the secrecy of photos and information is generally important. In this paper, we concentrate mainly on the safe re-appropriation of photographs.
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