502 search results - page 3 / 101 » Evaluation of Texture Features for Content-Based Image Retri... |
CSIE
2009
IEEE
13 years 11 months ago
2009
IEEE
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
SIBGRAPI
2003
IEEE
2003
IEEE
Using Efficient Visual Exploration Techniques to Evaluate Features for Content-Based Image Retrieval
13 years 10 months ago
This paper presents a novel visual approach to evaluate, in a fast and effective way, the development of new image feature extraction techniques concerning content-based image ret...
SSIAI
2000
IEEE
13 years 9 months ago
2000
IEEE
We present a framework for content based retrieval (CBR) of remotely sensed imagery. The main focus of our research is the segmentation step in CBR. A bank of gabor filters is use...
EVOW
2010
Springer
13 years 11 months ago
2010
Springer
This paper gives an example of evolved features that improve image retrieval performance. A content-based image retrieval system for skin lesion images is presented. The aim is to ...
IV
2000
IEEE
13 years 9 months ago
2000
IEEE
The proliferation of content-based image retrieval techniques has highlighted the need to understand the relationship between image clustering based on low-Ievel imagefeatures and...