We present an overview of the various uses of the wavelet transform (WT) in medicine and
biology. We start by describing the wavelet properties that are the most important for …

Presents a theoretically very simple, yet efficient, multiresolution approach to gray-scale and
rotation invariant texture classification based on local binary patterns and nonparametric …

A method for rapid visual recognition of personal identity is described, based on the failure
of a statistical test of independence. The most unique phenotypic feature visible in a …

We present a universal statistical model for texture images in the context of an overcomplete
complex wavelet transform. The model is parameterized by a set of statistics computed on …

This paper describes a new approach to the characterization of texture properties at multiple
scales using the wavelet transform. The analysis uses an overcomplete wavelet …

A distribution-based classification approach and a set of recently developed texture
measures are applied to rotation-invariant texture classification. The performance is …

The problem of detection of orientation in finite dimensional Euclidean spaces is solved in
the least squares sense. The theory is developed for the case when such orientation …

Early on, computer vision researchers have realized that multiscale transforms are important
to analyze the information content of images. The wavelet theory gives a stable …

The problem of the article is related to the improvement of means of covert monitoring of the
face and emotions of operators of information and control systems on the basis of biometric …

Many texture-segmentation schemes use an elaborate bank of filters to decompose a
textured image into a joint space/spatial-frequency representation. Although these schemes …