19 December 2001 RFLPRetriever: a content-based retrieval system for biological image databases
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Abstract
The reliance of life science researchers on computer systems has increased dramatically with the progress of the various genome projects. Currently, the demand exists for a biological image database system for the storage and retrieval of RFLP (Restriction Fragment Length Polymorphism) images. To fulfill this need, we have developed a content-based image retrieval (CBIR) system - RFLPRetriever - for the biological research community. Implementing a CBIR system for storage and retrieval of RFLP images provides several advantages. For example, when a biologist clones a gene, he or she must discover whether the gene has previously been cloned. To do this, the researcher needs to look through thousands of images in search of an RFLP image that contains a similar set of biologically meaningful features as a related image created in the lab. One advantage of using a CBIR system is that by taking the extracted feature vectors, an efficient database indexing structure can be created, providing the system with a rapid retrieval rate. In addition, a CBIR system allows the user to search an image database by submitting a query image in which the user wants to find a matching RFLP image based on a combination of biologically relevant attributes contained in the query image.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chi-Ren Shyu, Seth A. Havermann, Kristopher Stice, Georgia Davis, "RFLPRetriever: a content-based retrieval system for biological image databases", Proc. SPIE 4676, Storage and Retrieval for Media Databases 2002, (19 December 2001); doi: 10.1117/12.451080; https://doi.org/10.1117/12.451080
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