Removing Water Droplets In Medical Images Using Textured Spectral Analysis

Some disease in human body is caused by accumulation of water molecules at particular place in an organ or entering of unwanted toxic foreign bodies. This may be in large or in negligible amounts. Many methods like CT, MRI can detect these abnormalities if present in appreciable amount. But if present in small amount, human vision on these scanned images cannot detect them. The visual appearance of moving water droplet is very complex. Each water droplet refracts and reflects both scene radiance and atmospheric illumination toward an observer. Water droplets are randomly distributed in space and move at high velocities. Thus, water droplets produce spatial and temporal intensity fluctuations in videos. Modelling, analysing and detecting these unwanted water molecules may benefit avoiding the negligence of presence of disease. In this paper, the proposed system that detect water molecules in the images of affected organ like lungs automatically .The crux idea is to exploit textural properties of droplets or fluid. To perpetrate this idea, we are aiming to model these droplets by laws of physical science and reveal this through block processing of image pixels. For partially occluded image portions, information of the image may be used to be applied in transform like DCT, blending functions and retrieve it. For fully occluded image, image completion techniques can be used. By using this we can detect the droplets even if they are in micron size

Developing Dijik-Primbert Algorithm for Finding Unpredictable Paths over Time-Varying Networks

Abstract Cooperation among multiple unmanned vehicles is an intensely challenging topic from a theoretical and practical standpoint, with far reaching indications in scientific and commercial mission scenarios. The difficulty of time coordination for a rapid of multirotor UAVs includes predefined spatial paths according to mission necessities. With the solution proposed, cooperative control is accomplished in the presence of time-varying communication networks, as well as stringent temporal constraints, such as concurrent arrival at the desired final locations. The proposed explanation solves the time-coordination problem under the acceptance that the trajectory-generation and the path-following algorithms meeting convinced cohesion conditions are given. Communication is processed in unpredictable paths by the use of path following and directed communication graph. Dijik-Primbert algorithm for finding the shortest collision free paths is used to avoid and detect collision/congestion in unpredictable paths. Without collision detection, it doesn't seem agreeable to have collision avoidance because there wouldn't be everything to avoid. Dijikloyd algorithm is used for finding shortest paths in a weighted directed graph with positive and negative edges. Primloyd algorithm is used for finding shortest paths in a weighted undirected graph for conquering the complexity in matrix coding. In case of congestion or collision then the whole network is learned about it to all the communicators. Hence, communication is taken place in an unpredictable path in a secured manner. Keyword

Analysis of Various Road Pattern Recognition Methods for Satellite Images

Abstract--Recently road extraction from satellite imagery has emerged as one of the hot topics in the research field. It is particularly employed in the city planning, cartography and to revise already detected roads in Geographic Information Systems (GIS) environment.. Some of the several applications of road extraction are renewal of GIS database, reference for image registration, assistance for identification algorithms and fast mapping. Road extraction enables the road network to be truly presented in the object space when the image to ground systems transformation is carried out and it has been described as the method of detection and precise localization of roads in the image. Automatic road extraction attempts to simplify and speed up the road extraction process by focusing on automating all or few parts of this process. In photogrammetry and digital image processing fields, road extraction is considered as a challenging issue. In this paper detailed survey has been carried out on various road extraction techniques from satellite images and their performances were analyzed. Keywords-Particle filtering.kalman filtering, road extraction, Neural network and dense cloud points

Risk analysis of meteorological, agricultural, and hydrological drought events and study of drought propagation features: a case study in the upper Tapti River sub-basin, Central India

As a natural hazard, drought is a complex multivariate phenomenon that requires more comprehensive analysis. In this study, we studied meteorological, agricultural, and hydrological drought events with precipitation, soil moisture, and stream flow data for the study area. The risk analysis for drought duration and severity of three kinds of drought events were analyzed with univariate and three kinds of bivariate return periods based on the copula. Furthermore, the propagation of three kinds of drought was studied. From the investigation, it is observed that agricultural drought events are longer and more severe, besides the risk associated with agricultural drought is high compared to other kinds of drought. Moreover, the average time taken for meteorological drought to propagate into agricultural drought is 4.3 months and for the hydrological drought is 3.8 months for the river basin. The comprehensive study of three kinds of drought is helpful to adopt suitable drought management plans in the region. HIGHLIGHTS Studied characteristics of meteorological, agricultural, and hydrological drought events in the river basin.; Found out that agricultural drought events have a long duration and high severity.; Meteorological drought has less risk compared to the other two kinds of drought.; The propagation time to agricultural drought from meteorological drought is long compared to the time taken for hydrological drought events.