Local Parallel Cross Pattern: A Color Texture Descriptor for Image Retrieval

Color and Texture Based Image Retrieval Feature Descriptor using Local Mesh Maximum Edge Co-occurrence Pattern

A novel descriptor is designed and developed for extracting the features from large databases. The descriptor is known as LMeMECoP that is local mesh maximum edge co-occurrence patterns. Information of local maximum edge is collected between the possible neighbors for provided centre pixel that is the reference pixel. The maximum edge collection is in the form of mesh intended for reference pix...

A Novel Local Structure Descriptor for Color Image Retrieval

A novel local structure descriptor (LSD) for color image retrieval is proposed in this paper. Local structures are defined based on a similarity of edge orientation, and LSD is constructed using the underlying colors in local structures with similar edge direction. LSD can effectively combine color, texture and shape as a whole for image retrieval. LSH integrates the advantages of both statisti...

Local Neighborhood Intensity Pattern: A new texture feature descriptor for image retrieval

In this paper, a new texture descriptor based on the local neighborhood intensity difference is proposed for content based image retrieval (CBIR). For computation of texture features like Local Binary Pattern (LBP), the center pixel in a 3×3 window of an image is compared with all the remaining neighbors, one pixel at a time to generate a binary bit pattern. It ignores the effect of the adjacen...

Texture Classification for Image Retrieval using Local Structure Pattern

Local Color Contrastive Descriptor for Image Classification

Image representation and classification are two fundamental tasks towards multimedia content retrieval and understanding. The idea that shape and texture information (e.g. edge or orientation) are the key features for visual representation is ingrained and dominated in current multimedia and computer vision communities. A number of low-level features have been proposed by computing local gradie...