BACKGROUND Classification of breast ultrasound (BUS) images is an important step in the computer-aided diagnosis (CAD) system for breast cancer. In this paper, a novel phase-based texture descriptor is proposed for efficient and robust classifiers to discriminate benign and malignant tumors in BUS images. METHOD The proposed descriptor, namely the phased congruency-based binary pattern (PCBP)...

Our demo demonstrates the method we published at CVPR this year [3] for tracking specular and poorly textured objects. Instead of detecting and matching local features, we retrieve the pose in the input images by aligning them with a reference image exploiting dense optimization techniques. Our main contribution is an efficient novel local descriptor that can be used in place of the intensities...

This paper presents an overview of color and texture descriptors that have been approved for the Final Committee Draft of the MPEG-7 standard. The color and texture descriptors that are described in this paper have undergone extensive evaluation and development during the past two years. Evaluation criteria include effectiveness of the descriptors in similarity retrieval, as well as extraction,...

This paper presents a color–texture descriptor based on the local mapped pattern approach for color–texture classification under different lighting conditions. The proposed descriptor, namely extended color local mapped pattern (ECLMP), considers the magnitude of the color vectors inside the RGB cube to extract color–texture information from the images. These features are combined with texture ...

In this paper we propose two novel rotation invariant local texture descriptors. They are based on Local Binary Pattern (LBP), which is one of the most effective and frequently used texture descriptor. Although LBP efficiently captures the local structure, it is not rotation invariant. In the proposed methods, a dominant direction is evaluated in a circular neighbourhood and the descriptor is c...

Color texture descriptors have gained a lot of interest in computer vision applications. Methods for grayscale texture analysis have been extended to color images. This paper presents a new descriptor for color texture analysis based on the Local Mapped Pattern (LMP) methodology called Color Local Mapped Pattern (CLMP). For each color channel, C-LMP considers the sum of the differences of each ...

We present a novel Affine-Gradient based Local Binary Pattern (AGLBP) descriptor for texture classification. It is very hard to describe complicated texture using single type information, such as Local Binary Pattern (LBP), which just utilizes the sign information of the difference between pixel and its local neighbors. Our descriptor has three characteristics: 1) In order to make full use of t...