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Content based Image Retrieval using Model Approach
| Content Provider | Semantic Scholar |
|---|---|
| Author | Shriwas, Kunal Engg, Telecommunication |
| Copyright Year | 2016 |
| Abstract | Due to rapid development of digital and information technologies, more multimedia information is generated and available in digital form from varieties of resources around the world. Content based image retrieval systems (CBIR) are designed to allow users to search images in large databases which match closely with user’s query image. Proposed framework consists of all three features to achieve better retrieval results. The color feature is extracted by quantifying the HSV color space and the color attribute like mean value, standard deviation and the image bitmap of HSV color space. The edge feature are obtained by edge histogram descriptor. Texture features are obtained by entropy based gray level cooccurrence matrix (GLCM). Euclidian distance is used to find similarity measurement between query image and database images. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ijais.org/research/volume10/number8/shriwas-2016-ijais-451542.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Bitmap Color space Content-based image retrieval Edge enhancement Euclidean distance Extraction Grayscale Histogram Multimedia Published Database Question (inquiry) Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Standard deviation |
| Content Type | Text |
| Resource Type | Article |
