We propose a local texture descriptor based on a pyramidal composition of Self Organizing Map (SOM). As with the SOM model, our visual descriptor presents two operational steps: a first unsupervised learning phase and a second mapping phase involving a dimensionality reduction of the input data. During the first step a large number of image patches, including different classes of textures, are ...

This paper investigate a binary local image descriptor for Augmented Reality (AR) applications. Recently, various fields are benefit from AR. This technique can enhance the real environment by inserting virtual objects generated by computer. Temporal coherence between virtual and real objects must be ensure in AR system realization. In this paper, object recognition based on extracted natural f...

A new approach to texture segmentation is presented which uses Local Binary Pattern data to provide evidence from which pixels can be classified into texture classes. The proposed algorithm, which we contend to be the first use of evidence gathering in the field of texture classification, uses Generalised Hough Transform style R-tables as unique descriptors for each texture class and an accumul...

In this paper, we address the problem of acquiring bidirectional texture functions (BTFs) of large-scale material samples. Our approach fuses gonioreflectometric measurements of small samples with few constraint images taken on a flatbed scanner under semi-controlled conditions. Underlying our method is a lightweight texture synthesis scheme using a local texture descriptor that combines shadin...

Maintenance of digital image libraries requires to frequently asses the quality of the images to engage preservation measures if necessary. We present an approach to image based quality assurance for digital image collections based on local descriptor matching. We use spatially distinctive local keypoints of contrast enhanced images and robust symmetric descriptor matching to calculate affine t...

Pyramid Histogram of Multi-scale Block Local Binary Pattern (PH-MBLBP) descriptor for recognizing scene categories, is presented in this paper. We show that scene categorization, especially for indoor and outdoor environments, requires its visual descriptor to process properties that are different from other vision domains (e.g., SIFT descriptor used for object categorization). Our proposed PH-...

In this paper, we are proposing a novel texture descriptor, Structured Texton, for image representation. By exploring the local structure existed in the meaningful texture patterns, the structured textons are constructed by the nesting relationship between the different scale local extrema regions, which characterizes not only the local appearance features but also the geometric information. Fu...

To detect smoke regions from video clips, a novel dynamic texture descriptor is proposed with Surfacelet transform and hidden Markov tree (HTM) model. The image sequence is multi-scale decomposed by a pyramid model, and the signals are decomposed to different directions using 3D directional filter banks. Then a 3D HMT model is built for obtained coefficients from Surfacelet transform with both ...

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...

In the literature of pattern recognition and computer vision, local descriptors have been widely used in applications such as shape matching and object recognition. Numerous descriptors have been proposed and evaluated, but little work is reported in the area of medical image, especially ultrasonic images. In this paper, we assess the performance of different local descriptors to detect specifi...