Several techniques have recently been proposed to extract the features of an image.
Feature extraction is one of the most important steps in various image processing and …

Color texture classification has recently attracted significant attention due to its multiple
applications. The color texture images depend on the texture surface and its albedo, the …

This paper proposes capacitive bag-of-words (Cap BoW) modeling and capacitive pattern
classification processes for improved generalization ability. The Cap BoW and capacitive …

A robust and flexible technique to segment seafloor acoustic map** data by analyzing co-
located bathymetric digital elevation models and acoustic backscatter mosaics is presented …

Building discriminative and robust texture representation to deal with the changes of texture
appearance is a fundamental issue in texture classification. The Local Binary Pattern (LBP) …

This paper addresses the task of material and natural texture classification. We propose a
new discriminant color texture descriptor based on local pattern encoding scheme using …

Data can encapsulate different object grou**s in subspaces of arbitrary dimension and
orientation. Finding such subspaces and the grou**s within them is the goal of …

A novel iris recognition system is proposed in this paper. The proposed system is able to
handle various challenging issues which may occur during image acquisition in near …

This paper deals with multi-color space texture classification. Two approaches are proposed
and compared: a multi-color space histogram selection (MCSHS) and a multi-color space …

In this paper, we investigate the ability of the Long short term memory (LSTM) recurrent
neural network architecture to perform texture classification on images. Existing approaches …