Design and implementation of scaling-invariant boundary image matching system using time-series matching techniques

초록

In this paper we design and implement a scaling-invariant boundary image matching system exploiting time-series matching techniques. Converting boundary images to time-series makes it easier to compute distances for searching the scaled similar images, and this makes it feasible to perform fast search using indexes even on a large image database. Thus, using this converting method we develop a client-server system based on the previous scaling-invariant research in the GUI environment. The client first converts a query image given by a user to a time-series and sends scaling ranges and the tolerance with this time-series to the server. The server identifies similar images from the index by evaluating a range query, which is constructed using inputs given from the client, and sends the resulting images to the client. Experimental results show that our system provides much intuitive and accurate matching result. © 2013 ICIC International.

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