In this paper, a new codification of Local Binary Patterns (LBP) is given using graph pyramids. The LBP code characterizes the topological category (local max, min, slope, saddle) of the gray level landscape around the center region. Given a 2D grayscale image I, our goal is to obtain a simplified image which can be seen as “minimal” representation in terms of topological characterization of I. For this, a method is developed based on merging regions and Minimum Contrast Algorithm
Abstract This thesis presents extensions to the local binary pattern (LBP) texture analysis operator...
In this paper we propose a simple but efficient image representation for solving the scene classific...
Texture plays an important role in image processing analysis. It can be defined as the pattern descr...
In this abstract we extend ideas and results submitted to [3] in which a new codification of Local B...
The vertices of the neighborhood graph of a digital picture P can be interpolated to form a 2-manifo...
An irregular pyramid consists of a stack of successively reduced graphs. Each smaller graph is deduc...
In this chapter we present a family of techniques based on the principle of the Local Binary Pattern...
The local binary pattern operator is an image operator which transforms an image into an array or im...
Abstract: Hierarchical data structures such as irregular pyramids are used by many applications rela...
In this correspondence, a completed modeling of the local binary pattern (LBP) operator is proposed ...
The Bounded Irregular Pyramid (BIP) is a hierarchical structure for image representation whose aim i...
Local Binary Pattern (LBP) has been well recognised and widely used in various texture analysis appl...
An irregular pyramid consists of a stack of successively reduced graphs. Each smaller graph is deduc...
Topology plays an important role in computer vision by capturing the structure of the objects. Neve...
In image processing, applications such as quality inspection of surface degradation requires algorit...
Abstract This thesis presents extensions to the local binary pattern (LBP) texture analysis operator...
In this paper we propose a simple but efficient image representation for solving the scene classific...
Texture plays an important role in image processing analysis. It can be defined as the pattern descr...
In this abstract we extend ideas and results submitted to [3] in which a new codification of Local B...
The vertices of the neighborhood graph of a digital picture P can be interpolated to form a 2-manifo...
An irregular pyramid consists of a stack of successively reduced graphs. Each smaller graph is deduc...
In this chapter we present a family of techniques based on the principle of the Local Binary Pattern...
The local binary pattern operator is an image operator which transforms an image into an array or im...
Abstract: Hierarchical data structures such as irregular pyramids are used by many applications rela...
In this correspondence, a completed modeling of the local binary pattern (LBP) operator is proposed ...
The Bounded Irregular Pyramid (BIP) is a hierarchical structure for image representation whose aim i...
Local Binary Pattern (LBP) has been well recognised and widely used in various texture analysis appl...
An irregular pyramid consists of a stack of successively reduced graphs. Each smaller graph is deduc...
Topology plays an important role in computer vision by capturing the structure of the objects. Neve...
In image processing, applications such as quality inspection of surface degradation requires algorit...
Abstract This thesis presents extensions to the local binary pattern (LBP) texture analysis operator...
In this paper we propose a simple but efficient image representation for solving the scene classific...
Texture plays an important role in image processing analysis. It can be defined as the pattern descr...