IntroductIon Images are generated everywhere from various sources. It could be satellite pictures, biomedical, scientific, entertainment, sports and many more, generated through video camera, ordinary camera , x-ray machine, and so on. These images are stored in image databases. Content-based image retrieval (CBIR) technique is being applied to access these vast volumes of images from databases...

There are a number of color encoding standards that have lately been developed and are being proposed to the imaging community for different encoding steps in the color imaging workflow, optimized for different purposes. In this paper, their applicability for master and derivative image file encoding for image databases is discussed. Several types of image databases are defined, and the advanta...

In this paper, color encoding strategies for different image database applications are discussed. The color image workflow is examined in detail, and master and derivative file encoding strategies are outlined in relation to capture, maintenance, and deployment of image files. For the most common image database purposes, recommendations are given as to which type of color encoding is most suita...

Content-based image retrieval consists in retrieving from an image database the most similar image with respect to a query, according to some similarity measure. This scenario has numerous specific applications that include bioinformatics and medical imaging, among others. However, because the size of image repositories grows very fast, finding patterns in images requires an index to avoid a se...

The capacity to locate, access, and appraise information is an important skill required for success in dental school and beyond. An interdisciplinary course was implemented to teach first-year dental students at the University of Texas Health Science Center at Houston Dental Branch about evidence-based dentistry, search strategies, critical appraisal of the literature, and dental informatics. S...