Application of PCM Based Image Segmentation in Seafloor Observatory Network Using SOA

At present, there are many ocean observatory networks worldwide, which produce Terabytes of data every year. The challenge is for the organization to exploit those data. Download all the data on a personal computer to get further process is not very effective. Service-Oriented Architecture based Seafloor Observatory Network provides a platform for developers, most of who are scientists, to develop a variety of applications that deal with the observatory data. As the most popular language in the domain of science, MATLAB plays a vital role in the system by providing a large number of applications. In this paper, we deploy aPossibilistic C-Means based Image Segmentation application in form of Web Service, which is the most likely connection technology of SOA. Users can access this application with browsers conveniently.