Feature extraction and similarity measurement are two important operations in content-based image retrieval systems. We optimize and vectorize typical feature extraction algorithm...
For content level access, very often database needs the query as a sample image. However, the image may contain private information and hence the user does not wish to reveal the ...
This paper describes our participation in the Medical Image Retrieval task of Image CLEF 2008. Our aim was to evaluate different combination methods for purely textual and visual ...
Texture is a fundamental feature which provides significant information for image classification, and is an important content used in content-based image retrieval (CBIR) system. ...
: Despite the efforts to reduce the semantic gap between user perception of similarity and featurebased representation of images, user interaction is essential to improve retrieval...