Improving the performance of content based image retrieval through color layout descriptor
Due to increasing the digital contents day by day, many image databases are available in different areas such as education, forensics science, and medical science etc. Although these databases are helpful in related areas but the demand to manage these databases such as storing and to retrieve the i...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/6548/ http://eprints.uthm.edu.my/6548/1/211.pdf |
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| Summary: | Due to increasing the digital contents day by day, many image databases are
available in different areas such as education, forensics science, and medical science
etc. Although these databases are helpful in related areas but the demand to manage
these databases such as storing and to retrieve the images from these databases is the
need of the day. To search the similar image from these databases Content Based
Image Retrieval (CBIR) is one of the best technique. Even though it is a good
technique to search the images but still it faces some problem. One of the problems
of CBIR is to represent the image as a feature vector. In this paper, we proposed a
new feature vector using Color Layout Descriptor (CLD) to increase the accuracy of
CBIR. We tested our technique on the Coral Database and compared the results with
other CBIR techniques. Proposed method achieved better results than previous
techniques. The proposed technique can be used by forensic department for the
suspect identification using forensic database |
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