digital radiographs need additional metadata in order to be accurate when being converted to analog media. resolution is a major reason of failures in proper printing or digitizing the images. this letter shortly explains the overlooked pitfalls of digital radiography and photography in dental practice, and briefly instructs the reader how to avoid or rectify common problems associated with res...

This study was performed to recognize the loess texture in Golestan Province, Iran using the microstructure analysis according to the electron microscopic images. Loess microstructure study allows for investigating the characteristics of particle shape, fabric, cement and porosity in microscopic images. In recent years, computer analysis has been replaced with manual calculation due to its high...

We demonstrate the use of an ordinary white-light microscope for the study of the q-dependent dynamics of colloidal dispersions. Time series of digital video images are acquired in bright field with a fast camera, and image differences are Fourier analyzed as a function of the time delay between them. This allows for the characterization of the particle dynamics independent of whether or not th...

over the course of the last 15 years. Previously the images were stored and categorized according to social security number, diagnosis, as well as certain terms, which every surgeon could decide and write down individually for each patient. The large number of photographs made it increasingly difficult to navigation through the database and extract relevant photos. To solve this, we developed a...

Weighted Finite Automata (WFA) is an efficient structure for digital image storage and is successfully applied for the image compression purpose. This paper introduces the idea of slicing image into eight bit planes and then compressing each bit planes individually using proposed WFA inference algorithm. Furthermore, the proposed algorithm uses the concept of invertible resolution wise mapping ...

over the course of the last 15 years. Previously the images were stored and categorized according to social security number, diagnosis, as well as certain terms, which every surgeon could decide and write down individually for each patient. The large number of photographs made it increasingly difficult to navigation through the database and extract relevant photos. To solve this, we developed a...