Recently, the research towards Brodatz database for texture classification done at considerable amount of study has been published, the effective classification are vulnerable towards for training and test sets. This study presents the novel texture classification method based on feature descriptor, called spatial cooccurrence with discrete shearlet transformation through the LPboosting classif...

In this paper, we propose a novel 3D free form surface matching method based on a novel key-point detector and a novel feature descriptor. The proposed detector is based on algebraic surface fitting. By global smooth fitting, our detector achieved high computational efficiency and robustness against non-rigid deformations. For the feature descriptor, we provide algorithms to compute 3D critical...

Existing methods for sound texture synthesis are often concerned with the extension of a given recording, while keeping its overall properties and avoiding artefacts. However, they generally lack controllability of the resulting sound texture. After a review and classification of existing approaches, we propose two methods of statistical modeling of the audio descriptors of texture recordings u...

Medical disease examination is often based on images. Mining these images in order to obtain the classification knowledge for automatic image classification is a challenging task. This task belongs to the field of image mining. Image mining is usually not only comprised of mining a table of numbers it has also to do with transforming the image in the right image description. Both, the image des...

Abstract— The aim of our research was to develop a method that allows us automatically to discover the decision rules for diagnosing medical images in normal tissue images and images showing a polyp. We used a data set of images that came from an endoscope video system used for colon examination. The data set contains 283 normal tissue images and 61 polyp images. The 283 normal images consist o...

This paper presents an extended bio-inspired texture (E-BiT) descriptor for image characterization. The E-BiT combines global ecological concepts of species diversity, evenness, richness, and taxonomic indexes to effectively capture patterns at local levels while maintaining invariance scale, translation, permutation. First, we pre-processed the images by normalizing applying geometric transfor...

Three dimensional surface matching is an important problem in computer vision. The process of surface matching is to match similar regions or correspondences across multiple surfaces with unknown relative poses. Many surface descriptors for finding correspondences have been proposed. However, most of these approaches have been used in triangle mesh surfaces. In this paper, a local surface descr...