DOIONLINE 
DOIONLINE Publish In |
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE)-IJIEEE |
 Journal Home Volume Issue |
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Issue |
Volume-4,Issue-4 ( Apr, 2016 ) | |||||||||
Paper Title |
Morphological Curvature Scale Space-Based Method For Image Retrieval | |||||||||
Author Name |
Akamhimaja, Badugu Sravani, D.Suresh Chetana | |||||||||
Affilition |
Electronics and Communication, R.M.K. Engineering college, Chennai,India | |||||||||
Pages |
49-51 | |||||||||
Abstract |
This project proposes a method for image database retrieval based on object shape information that would supplement traditional text-based retrieval systems. The system recover the query image based on the shape distribution using eight connected operator. This system is aimed to achieve both the desired efficiency and accuracy using a two-stage hierarchy. In the first stage, simple and easily computable shape features are used to generate a moderate number of retrievals when a query is presented; in the second stage, the candidates from the first stage are screened using a deformable template matching using the CSS feature to discard spurious matches and retrieve the accurate image back Keywords- CSS Feature,Image Retrivel,Invarient Moment,Image Processing,Structure Of Image..Etc | |||||||||
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