Fuzzy sets, decision making and expert systems
Fuzzy sets, decision making and expert systems
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
The MPEG-7 visual standard for content description-an overview
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
An automated system for search and retrieval of trademarks
Proceedings of the 11th International Conference on Electronic Commerce
Content based radiology image retrieval using a fuzzy rule based scalable composite descriptor
Multimedia Tools and Applications
CEDD: color and edge directivity descriptor: a compact descriptor for image indexing and retrieval
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Building detection with loosely-coupled hybrid feature descriptors
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
| Hi-index | 0.00 |
This paper proposes a new image retrieval system, that uses only color features and it's based on a hybrid scheme which combines crisp and fuzzy techniques, in order to retrieve color based similar images. The system comprises 2 units. The first unit uses Binary Haar Wavelet Descriptor in a histogram that has been proposed in MPEG-7. A new fuzzy-linking method of color histogram creation is also proposed, based on the HSV color space. The second unit provides this histogram and decides about the similarity. The system is suitable for accurately retrieving images even in distortion cases such as deformations, noise and smoothing. It is tested on a large number of images selected from proprietary image data bases or randomly retrieved from popular search engines. The retrieval rate approximates 45 images (size of 250 X 250 pixels) per second, assuming no prior stored feature information in the searched image data bases. To evaluate the performance of the proposed system, objective measure called ANMRR is used.