Temporal pattern mining in an object set having irregular layered structure by using SASK algorithm

In this paper a new approach for pattern mining is done through the image set consists of layers that might be irregular or regular one. Those layers will contain the hulls to be identified by using the onion routing approach. As the onion consists of several layers, if those layers are separated they can be easily mined and later the counting algorithm will be easily applied to find number of layers. This can be helpful in knowing how many floors, rooms etc in a building. In a way it can be applied to a number of applications like traffic, military, etc. The estimation results are easily obtained while going through identifying the sub-regional objects by using the SASK algorithm. The hard clustering and density based clustering process of obtained image rough set is used to recognize the differentiated internal objects, if any. Layered hulls are those having the structured layers inside. These are useful in the Military Services and Traffic to identify the number of vehicles or persons. In this Proposed Paper SASK algorithm is designed which is helpful for identifying the regions and By creating clusters and it will be useful to differentiate the layers and can help to identify them easily.