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...

When performing primary reading on a newly taken radiographic examination, a radiologist often needs to reference relevant prior images of the same patient for confirmation or comparison purposes. To effectively support such prior image references, we proposed an intelligent patient image retrieval system, which includes a learning sub-system for inducing patient image retrieval knowledge, base...

Image retrieval is an important research field which has received great attention in the last decades. In this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. For text-based features, keywords and for content-based features, color and texture features have been used. Query in this system contains some keywords and an input...

results the evaluation of eps was identical to that of the radiologists in 89.5% of the cases. ninety-eight percent (98%) indicated total agreement and 1.5 percent total disagreement. conclusions there is a high agreement between eps and radiologists in cxr interpretations in shohadaye tajrish hospital. thus, eps can substitute radiologists in the emergency department. more improvements are rec...

several semantic image search schemes have been recently proposed to retrieve images from the web. however, the query context is regularly ignored in these techniques and hence, many of the returned images are not adequately relevant. in this paper, we make use of context to further confine the outcome of the semantic search engines. for this purpose, we propose a hybrid search engine which uti...

in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...

In an effort to achieve efficient image management in the practice of neurosurgery, a clinical data base system was designed and developed to process, store and retrieve neuroradiologic image information on hospitalized patients with the use of a local image filing system (EFPACS-500, Fuji Electric Co., Ltd). Storage and retrieval of radiographic images were studied to quantify existing procedu...