Background Late gadolinium enhanced magnetic resonance (LGE MR) imaging is the current standard modality for evaluating the extent of myocardial damage in the presence of ischemic cardiomyopathies (ICM). However it is difficult to differentiate acute from chronic myocardial infarctions (MI) by standard signal intensity thresholding methods. We hypothesize that textural analysis of myocardial in...

We introduced new polynomial features described as polynomials on the image pixels domain. After imposing natural conditions these features transform into linear combinations of the image autocovariance function readings. We proposed a way to adjust these features using learning sample textural properties. Experiments on a real diagnostic dataset of lung CT images showed a decrease of the error...

The objective of the present work is to evaluate the potential of the use of the image fractal dimension as textural feature in a content-based image retrieval (CBIR) system. An interactive CBIR system that uses for the classification of images a cummulative feature including the fractal dimension is presented, together with the performances of the algorithm that determines the local and connec...

Digital mammogram has become the most effective technique for early breast cancer detection modality. Digital mammogram takes an electronic image of the breast and stores it directly in a computer. High quality mammogram images are high resolution and large size images. Processing these images require high computational capabilities. The transmission of these images over the net is sometimes cr...

This paper starts with the local textural information of ultrasound thyroid images. The recent feature extraction methods are presented with the different application areas. The basic objective of this study is to identify and represent the performance of a novel approach for texture characterization of thyroid ultrasound images. The method proposed here should reduce the uncertainty produced b...

Wayne P. Sousa is with the Department of Integrative Biology, University of California, Berkeley, CA 94720. Abstract Tropical forests in many areas of Central and South America experience strong seasonality in climatic variables such as rainfall, solar radiation, wind speed, and relative humidity. Such seasonality is typical of the mangrove forests we study along the Caribbean coast of Panama. ...

In the medical field, content-based image retrieval (CBIR) is used to aid radiologists in the retrieval of images with similar contents. CBIR methods are usually developed for specific features of images, so that those methods are not readily applicable across different kinds of medical images. This study proposes a sound methodology for CBIR of mammograms, which is applicable to various format...

Recently, the use of data hiding in hiding annotations, confidential data, or side information into multimedia attracts the attention of researchers in various fields, especially in digital library. One of the essential tasks in digital library is the digitization of arts together with the corresponding textural descriptions. Although there are some standard interleaving algorithms for hiding t...

This study explored the potential of computed tomography (CT) textural feature analysis for the stratification of single large hepatocellular carcinomas (HCCs) > 5 cm, and the subsequent determination of patient suitability for liver resection (LR) or transcatheter arterial chemoembolization (TACE). Wavelet decomposition was performed on portal-phase CT images with three bandwidth responses (fi...

To obtain text information included in a scene image, we first need to extract text regions from the image before recognizing the text. In this paper, we examine human vision and propose a novel method to extract text regions by evaluating textural variation. Human beings are often attracted by textural variation in scenes, which causes foveation. We frame a hypothesis that texts also have simi...