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Design and Implementation of a Partial Denoising Boundary Matching System Using Indexing Techniques
- Source :
- Advances in Computer Science and Ubiquitous Computing ISBN: 9789811393402
- Publication Year :
- 2019
- Publisher :
- Springer Singapore, 2019.
-
Abstract
- In this paper we design and implement a partial denoising boundary matching system using indexing techniques. Converting boundary images to time-series makes it feasible to perform fast search using indexes even on a very large image database. Thus, using this converting method we develop a client-server system based on the previous partial denoising research in the GUI environment. The client first converts a query image given by a user to a time-series and sends denoising parameters 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.
- Subjects :
- Matching (statistics)
Range query (data structures)
Computer science
business.industry
Noise reduction
Search engine indexing
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Boundary (topology)
Image (mathematics)
Index (publishing)
Image database
Computer Science::Computer Vision and Pattern Recognition
Computer vision
Artificial intelligence
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Advances in Computer Science and Ubiquitous Computing ISBN: 9789811393402
- Accession number :
- edsair.doi...........4c8101716a44953fa06fd0f1d85367e5