Classifying color textures under varying illumination sources remains challenging. To address this issue, this paper introduces a new descriptor for color texture classification, which is robust to changes in the scene illumination. The proposed descriptor, named Color Intensity Local Mapped Pattern (CILMP), incorporates relevant information about the color and texture patterns from the image i...

Texture is one of the chief characteristics of an image. In recent years, local texture descriptors have garnered attention among researchers in describing effective texture patterns to demarcate facial images. A feature descriptor titled Local Texture Description Framework-based Modified Local Directional Number pattern (LTDF_MLDN), capable of encoding texture patterns with pixels that lie at ...

We present a novel image feature descriptor for rotationally invariant 2D texture classification. This extends our previous work on noise-resistant and intensity-shift invariant median binary patterns (MBPs), which use binary pattern vectors based on adaptive median thresholding. In this paper the MBPs are hashed to a binary chain or equivalence class using a circular bit-shift operator. One bi...

In Image processing face recognition plays an important role in various biometric applications. WLD (Weber’s Local Descriptor) will be used for face recognition. WLD is a texture descriptor that performs better than other similar descriptors but it is holistic due to its very construction. Image is divided into number of blocks and WLD is calculated for each block and then concatenate them. Thi...

We present a part-based shape descriptor that incorporates both the description of the general shape form of each subpart and its geometric relationship with other connected parts. Associated with each descriptor is a saliency measure that weighs each part’s visual significance. By incorporating this saliency measure into the shape matching process, we able to discriminate between shape forms a...

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Color and texture data have been the primitive image or picture descriptors in substance or content based picture recovery frameworks. In this article, a technique is introduced for image or picture mining taking into account examination of shading...

We present Spatiotemporal Derivative Pattern (SDP), a descriptor for dynamic textures. Using local continuous circular and spiral neighborhoods within video segments, SDP encodes the derivatives of the directional spatiotemporal patterns into a binary code. The main strength of SDP is that it uses fewer frames per segment to extract more distinctive features for efficient representation and acc...

In this paper, we propose Local Binary Pattern Histogram Fourier features (LBP-HF), a novel rotation invariant image descriptor computed from discrete Fourier transforms of local binary pattern (LBP) histograms. Unlike most other histogram based invariant texture descriptors which normalize rotation locally, the proposed invariants are constructed globally for the whole region to be described. ...

identification based on faces is still a useful method for many applications and face recognition developing is an active research field. in this paper, a novel face identification method is proposed. the proposed method (bridle path on gabor phase (bpgp)) is based on extracting texture patterns from phases of the gabor wavelet. also, in order to describe the textures, a novel texture descripto...