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

When you think about how far and fast computer science has progressed in recent years, it's
not hard to conclude that a seven-year old handbook may fall a little short of the kind of …

Speckle has been widely considered a noisy feature in ultrasound images, thus it is
intended to be suppressed and eliminated. On the other hand, speckle can be studied as a …

Aiming at the defect of Local Binary Pattern (LBP) and its variants, this paper presents a new
modeling of the conventional LBP operator for texture classification. Named Attractive-and …

In this paper, the three level descriptions from LTP and the directional features from LDP are
combined to form a new local feature descriptor, referred to as local directional ternary …

The second volume of this popular handbook demonstrates the richness and breadth of the
IS and IT disciplines. The book explores their close links to the practice of using, managing …

Motivated by researching new image texture modeling that improves state-of-the-art LBP
variants and non-LBP descriptors, this paper proposes a novel approach for constructing …

Multimedia database management has been intensively studied recently due to the rapid
growth of multimedia data and the demand of their access over the Internet. The new …

Aiming at the defect of local binary pattern (LBP), this paper presents a novel and efficient
local second-order derivative descriptor for image texture feature extraction based on local …

Recently, local gradient microstructure of image textures has become an important field of
texture classification, but it is generally to investigate the multiscale local microstructures of …