We present a novel dedicated hardware system for the extraction of second-order statistical features from high-resolution images. The selected features are based on gray level co-occurrence matrix analysis and are angular second moment, correlation, inverse difference moment and entropy. The proposed system was evaluated using input images with resolutions that range from 512×512 to 2048×2048 p...

Texture information plays an important role in image analysis. Although several descriptors have been proposed to extract and analyze texture, the development of automatic systems for image interpretation and object recognition is a difficult task due to the complex aspects of texture. Scale is an important information in texture analysis, since a same texture can be perceived as different text...

Grey Level Co-occurrence Matrices (GLCM) are one of the earliest techniques used for image texture analysis. In this paper we defined a new feature called trace extracted from the GLCM and its implications in texture analysis are discussed in the context of Content Based Image Retrieval (CBIR). The theoretical extension of GLCM to n-dimensional gray scale images are also discussed. The results ...

Ultrasound applications are used for diagnostic applications such as visualizing muscles, tendons, internal organs, to determine its size, structures, any lesions or other abnormalities. This paper concentrates the diagnosis of abnormalities in kidney Images based on retrieving past similar images from kidney Image Database. More and more amount of ultrasound digital images are being captured a...

The spin reversal of nanostructured Co/Pd multilayers by varying the number of repeats has been investigated quantitatively. The magnetization viscosity measurement and the direct observation of the time-dependent spin reversal patterns showed that their reversal behavior gradually changed from wall-motion dominant to nucleation dominant by increasing the number of repeats. Both the wall-motion...

In this paper, we present a structural and statistical approach for texture classification. It can achieve with a higher accuracy rate comparing to the Spatial Gray Level Dependence (SGLD) method and Laws' method. Our method uses the previously proposed operator, the Surface-Shape operator (SS-operator), for describing topographic structure of texture images. The SS-operator describes shape of ...