1 I n t r o d u c t i o n The problem of texture analysis (recognition and segmentation) has traditionally been approached by computing locally defined vector-valued "descriptors" of each region in the image. The texture recognition problem is thus reduced to a conventional classification problem, and boundary detection may be performed by locating areas of rapid change in the descriptor vector...

Image feature matching is to seek, localize and identify the similarities across the images. The matched local features between different images can indicate the similarities of their content. Resilience of image feature matching to large view point changes is challenging for a lot of applications such as 3D object reconstruction, object recognition and navigation, etc, which need accurate and ...

Fractal analysis has been shown to be useful in image processing for characterizing shape and gray-scale complexity. The fractal feature is a compact descriptor used to give a numerical measure of the degree of irregularity of the medical images. This descriptor property does not give ownership of the local image structure. In this paper, we present a combination of this parameter based on Box ...

In this paper we introduce a new image representation for texture classification. Our work is motivated by recent developments in the field of local patch based features, compressive sensing and descriptor encoding methods. Novel features called Compressed Random Pixel Difference (CRPD) are proposed. These features are low in dimensionality, highly discriminative, and easy to compute. Combined ...

In this paper, a Shearing Invariant Texture Descriptor (SITD) is proposed, which is a theoretically and computationally simple method based on the Rotation invariant Local Binary Pattern (Rot-LBP) descriptor. In real-world applications using flatbed scanners, such as paper texture fingerprinting, it’s common for a sheet of paper to rotate during the image acquisition process. Because the rotati...

Impression from the fingers and its matching is one of the important task of law enforcing body. Minutia extraction from the fingerprint image decides the accuracy of the matching. Method presented in this paper is also very efficient in matching the algorithm. Minutia cylindrical code(MCC) which is local descriptor of the fingerprint image is used for matching the fingerprint image. MCC, codes...

This paper presents a novel feature descriptor termed principal component analysis (PCA)-based Advanced Local Octa-Directional Pattern (ALODP-PCA) for content-based image retrieval. The conventional approaches compare each pixel of an with certain neighboring pixels providing discrete information. proposed in this work utilizes the local intensity all eight directions its neighborhood. octa-dir...

This paper presents a method called Robust Edge Aware Descriptor (READ) to compute local gradient information. The proposed method measures the similarity of the underlying structure to an edge using the 1D Fourier transform on a set of points located on a circle around a pixel. It is shown that the magnitude and the phase of READ can well represent the magnitude and orientation of the local gr...

A shape based descriptor in image retrieval is proposed in this paper. It is focused on developing soft computing efficiency and novelty in image processing. The algorithm calculates a histogram based on the shape descriptor, representing texture feature of an image at high level (object oriented) effectively. By integrating the algorithms in key point detector with shape descriptor, the new me...