Content Based Image Retrieval System Using Integrated Feature Extraction Approach
Main Article Content
Abstract
This article implemented an efficient content-based image retrieval (CBIR) system
using integrated feature extraction approach where spatial dependence matrix (SDM) is
utilized to extract the texture features from the given images while translation invariant
discrete wavelet transform(TIDWT) employed for low-level feature extraction. Further,
this approach considered Tanimoto distance for showing the effectiveness of proposed
hybrid CBIR system. Extensive experimental analysis discloses that proposed hybrid
CBIR system improves efficiency tremendously over conventional CBIR systems.
Downloads
Metrics
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
