This paper presents a novel pattern based feature descriptor named as Local Differential Excitation Binary Cooccurrence Pattern (LDEBCoP) for texture and biomedical image retrieval. The proposed method exploits the local structure information using differential excitation. Further, to produce more compact local binary patterns the adjacent neighbourhood pixel pairs are considered in the computa...

Gender recognition from facial images plays an important role in biometric applications. Employing Dyadic wavelet Transform (DyWT) and Local Binary Pattern (LBP), we propose a new feature descriptor DyWT-LBP for gender recognition. DyWT is a multi-scale image transformation technique that decomposes an image into a number of sub-bands which separate the features at different scales. DyWT is a k...

The texture descriptors derived from 1-D DFT (Discrete Fourier Transform) of the pixel values of a local neighbourhood have been shown to perform better than the methods based on wavelets for image retrieval and recognition. These DFT-based texture descriptors were extracted from rectangular or circular neighbourhoods. This paper compares the texture descriptors extracted from rectangular and t...

Local Binary Pattern is the most popular texture classification feature. It also shows excellent face detection performance. It is robust to the illumination and contrast variations as it considers the signs of the pixel differences. A Histogramming Local Binary Pattern code makes the descriptor resistant to translations within the Histogramming neighborhood. The two sets of novel edge-texture ...

This paper presents a novel texture descriptor based on the wavelet transform. First, we will consider vertical and horizontal coefficients at the same position as the components of a bivariate random vector. The magnitud and angle of these vectors are computed and its histograms are analyzed. This empirical magnitud histogram is modelled by using a gamma distribution (pdf). As a result, the fe...

Textural patterns can often be used to recognize familiar objects in an image or retrieve images with similar texture from a database. Texture patterns can provide significant and abundance of texture and shape information. One of the recent significant and important texture features called Texton represents the various patterns of image which is useful in texture analysis. The present paper is...

In image registration or matching, the feature extracted by using traditional methods does not include depth information which may lead to a mismatch of keypoints. this paper, we prove that when camera moves, ratio difference keypoint and its neighbor pixel before after movement approximates constant. That means normalization is invariant movement. Based on property, all differences pixels cons...

In this paper, we propose a new descriptor of texture images based on the characterization of the spatial patterns of image keypoints. Regarding the set of visual keypoints of a given texture sample as the realization of marked point process, we define texture features from multivariate spatial statistics. Our approach initially relies on the construction of a codebook of the visual signatures ...