Feature extraction is an important part of perceptual hashing. How to compress the robust features images into hash codes has become a hot research topic. Converting two-dimensional image one-dimensional descriptor requires higher computational cost and not optimal. In order maintain internal feature structure original image, new Bilinear Supervised Neighborhood Discrete Discriminant Hashing (B...

In this paper we introduce a second order differential operator in order to partition discrete objects into meaningful parts. One of these parts contains all points of the object’s medial axis which is a widely used shape descriptor. Since aliasing is a fundamental problem for methods based on the boundary of discrete objects we use a bilateral filter to reduce the artefacts significantly. As a...

In this letter we investigate data-driven predictive control of discrete-time linear descriptor systems. Specifically, give a tailored variant Willems’ fundamental lemma, which shows that for systems the non-parametric modeling via Hankel matrix requires less data compared to time-invariant without algebraic constraints. Moreover, use description propose framework optimal and For latter, provid...

The content-based retrieval systems for 3D models on the Web become necessary since digital databases of 3D objects are growing. In this paper, we propose a new method to describe 3D models. This method is based on 3D discrete cosine transform which is applied for the voxelized 3D model. The discrete cosine transform is widely used for 2D image compression and it shows its performance for the J...

We analyze the structure of the linear differential and difference operators associated with the necessary optimality conditions of optimal control problems for descriptor systems in continuousand discrete-time. It has been shown in [27] that in continuous-time the associated optimality system is a self-conjugate operator associated with a self-adjoint pair of coefficient matrices and we show t...

A binary chain code for representing 3D curves is presented. 3D curves are digitalized and represented as 3D discrete curves. 3D discrete curves are composed of constant straight-line segments using only orthogonal directions. The proposed binary notation is based on the orthogonal direction change chain code. Thus, using the proposed binary chain code it is possible to represent any 3D curve b...

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...

We propose a new MAP-based technique for the unsupervised segmentation of different brain structures (white matter, gray matter, etc.) from T1-weighted MR brain images. In this paper, we follow a procedure like most conventional approaches, in which T1-weighted MR brain images and desired maps of regions (white matter, gray matter, etc.) are modeled by a joint Markov-Gibbs Random Field model (M...