The aim of this study is to propose a suitable and reliable system for better diagnosis and treatment of carotid diseases. In this study, Computer Aided Diagnosis (CAD) system has been proposed for classifying carotid artery plaques using Contourlet features. Carotid images have been acquired for 124 subjects with symptoms (Amaurosis Fugax, Stroke or Transient Ischemic Attack) and 133 subjects ...

Many methodologies of change detection have been discussed in the literature, but most of them are tested on only optical images or traditional synthetic-aperture radar (SAR) images. Few studies have investigated multipolarimetric SAR image change detection. In this study, we presented a type of multipolarimetric SAR image change detection approach based on nonsubsampled contourlet transform an...

A previous study proposed a method for simulation of detail visibility of natural images (from different observation distances) by using contrast sensitivity functions and wavelets (Pedersen and Farup, Color and Imaging Conference 2012). In this paper we propose an improved method using the non-subsampled contourlet transform, which accounts for important aspects of the human visual system such...

The network’s convenience has created a copyright dilemma for some multimedia works. Nowadays, every healthcare system relies on digital medical images diagnosis. These are transmitted through communication channels, so there is risk of tampering and violation. A watermarking can ensure guarantee that violation prevented. This study presents nonblind approach to X-ray based Contourlet...

The evaluation of retinal images is widely used to help doctors diagnose many diseases, such as diabetes or hypertension. Due to the acquisition process, retinal images often have low grey level contrast and dynamic range. This problem may seriously affect the diagnostic procedure and its results. Here we present a new multi-scale method for retinal image contrast enhancement based on the Conto...