The rapid expansion of digital data content has led to the need for rich descriptions and efficient Retrieval Tool. To develop this, content based image Retrieval method has played an important role in the field of image retrieval. This paper aims to provide an efficient medical image data Retrieval from a huge content of medical database using one of the images content such as image shape, bec...

Nowadays, Medical Imaging is emerged well with computer applications. The diagnosis process is fully automated; based on the medical image, cases are reasoned to examine the causes such as Cancer Prediction, Age Estimation, and Injuries and so on. Automatic Image Annotation (AIA) is widely used in Medical field. Generally, the images are the retrieved using CBIR (Content-based Image Retrieval) ...

Images are ubiquitous in biomedicine and the image viewers play a central role in many aspects of modern health care. Tremendous amounts of medical image data are captured and recorded in digital format during the daily clinical practice, medical research, and education (in 2009, over 117,000 images per day in the Geneva radiology department alone). Facing such an unprecedented volume of image ...

In this article, a fabulous method for database retrieval is proposed.  The multi-resolution modified wavelet transform for each of image is computed and the standard deviation and average are utilized as the textural features. Then, the proposed modified bit-based color histogram and edge detectors were utilized to define the high level features. A feedback-based dynamic weighting of shap...

Multimedia data is growing rapidly in the current digital era, one of which image data. The increasing need for a large number datasets makes constraints faced eventually drain lot time and cause process description to be inconsistent. Therefore, method needed processing data, especially searching dataset find that are relevant query image. One proposed methods information based on content retr...

OBJECTIVES In this paper we study the impact of executing a medical image database query application on the grid. For lowering the total computation time, the image database is partitioned into subsets to be processed on different grid nodes. METHODS A theoretical model of the application complexity and estimates of the grid execution overhead are used to efficiently partition the database. ...

Content-based image retrieval (CBIR) is a new but widely espoused method for finding images from enormous image databases. The need of content based image retrieval technique is in different domains such as medical imaging, crime prevention, weather forecasting, surveillance, historical research and remote sensing. This paper presents the content based image retrieval, using texture and color f...