Extended Adjacent Local Binary Pattern for Texture Based Image Retrieval

Image Retrieval using Quantized Local Binary Pattern

Image retrieval is one of the main topics in the field of computer vision and pattern recognition. Local descriptors are gaining more and more recognition in recent years as these descriptors are capable enough to identify the unique features, which suitably and uniquely describe any image for recognition and retrieval. One of the popular and efficient frame works for capturing texture informat...

Texture Classification for Image Retrieval using Local Structure Pattern

Affine-Gradient Based Local Binary Pattern Descriptor for Texture Classification

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...

Pyramid-Based Multi-structure Local Binary Pattern for Texture Classification

Recently, the local binary pattern (LBP) has been widely used in texture classification. The conventional LBP methods only describe micro structures of texture images, such as edges, corners, spots and so on, although many of them show a good performance on texture classification. This situation still could not be changed, even though the multiresolution analysis technique is used in methods of...

Image Retrieval Technique Using Local Binary Pattern (LBP)

The increased need of content based image retrieval technique can be found in a number of different domains such as Data Mining, Education, Medical Imaging, Crime Prevention, Weather forecasting, Remote Sensing etc. An image retrieval system allows us to browse, search and retrieve the images. In early days because of very large image collections the manual annotation approach was more difficul...