Remote sensing is a field that has wide use, leading to the fact that it has a great importance. Therefore performance of selected features plays a great role. In order to gain some perspective on useful textural features, we have brought together state-of-art textural features in recent literature, yet to be applied in remote sensing field, as well as presenting a comparison with traditional o...

Assessment of pavement distresses is one of the important parts of pavement management systems to adopt the most effective road maintenance strategy. In the last decade, extensive studies have been done to develop automated systems for pavement distress processing based on machine vision techniques. One of the most important structural components of computer vision is the feature extraction met...

In this contribution is investigated the use of textural descriptors as descriptors for primitive textural information in medical images. A few approaches have been presented in the literature to the direction of the discrimination of texture in medical images compared with similar approaches used for texture recognition. In this paper we try to prove that texture exists in medical images and c...

Hepatocellular carcinoma (HCC) is graded mainly based on the characteristics of liver cell nuclei. This paper proposes a textural feature descriptor and a novel computational method for classifying liver cell nuclei and grading the HCC histological images. The proposed textural feature descriptor observes local and spatial characteristics of the texture patterns by using multifractal computatio...

Cervical cancer is considered to be the deadliest gynaecological cancers which affect women and it now seems that the only way it could be controlled is by employing an automated system. Of all the visual parameters which the brain uses to make sense of the world around us the textural features is the best reliable one. Here we have tried to exploit this concept by analyzing the textural featur...

Analysis of medical images plays a very important role in clinical decisionmaking. For a long time it has required extensive involvement of a human expert. However, recent progress in data mining techniques, especially in machine learning, allows for creating decision models and support systems that help to automatize this task and provide clinicians with patient-specific therapeutic and diagno...

It is difficult to differentiate diffuse liver diseases, namely cirrhotic and fatty livers from normal one by visual inspection from the ultrasound images. The need for computerized tissue characterization is thus justified to assist quantitatively the sonographer for accurate differentiation. In this paper a novel approach of tissue characterization using pattern recognition techniques is deve...

Considerably research has been conducted on automated and semi-automated techniques that incorporate image textural information into the decision process as an alternative to improve the information extraction from images while reducing time and cost. The challenge is the selection of the appropriate texture operators and the parameters to address a specific problem given the large set of avail...