Combining Global features for Content-based Retrieval of Medical Images

[38] made an analogy between image retrieval and text retrieval, and have proposed a higher-level representation (visual phrase) based on the analysis of visual word occurrences

Hadoop framework is used to store images and their features in column-oriented database HBase, and utilizes MapReduce computing model to im- prove the performance of image

In addition to the mathematical definition of average precision stability, we include a performance evaluation of the major signature- based distance functions focusing on

Our vali- dation results with the last year 2011 dataset indicates both ITML and diffusion distance to be promising choices for the ad-hoc image-based retrieval task for

To generate the feature vectors at different levels of abstraction, we extract both visual concept- based feature based on a “bag of concepts” model comprising color and texture

The number of visual runs in 2008 was much lower than in previous years, and the evolution is not as fast as with textual retrieval techniques.. Five groups submitted a total of

 Improving the image quality by increasing the contrast in order to highlight of medical images features (shown by the arrows in Fig. 4a and Fig. Test images: a)

─ the development of an algorithm for recognizing objects in an image using soft- ware implementation for automating successive stages of recognizing objects in an