The need for efficient content-based image retrieval system has increased hugely. Efficient and effective retrieval techniques of images are desired because of the explosive growth of digital images. content based image retrieval (CBIR) is a promising approach because of its automatic indexing retrieval based on their semantic features and visual appearance. The similarity of images depends on ...

In this study a novel shape descriptor for object recognition is proposed. As preprocessing stage, Canny edge detection [4] applied to input images. Output of detector, namely image, sampled and various number points are selected. Chosen the new descriptor. Proposed composed deviations from average range angle. Shape used as feature extractor output which fed linear classifier. Linear classifie...

We present a line-scan stereo system and descriptor-based dense stereo matching for highperformance vision applications. The stochastic binary local descriptor (STABLE) descriptor is a local binary descriptor that builds upon the principles of compressed sensing theory. The most important properties of STABLE are the independence of the descriptor length from the matching window size and the po...

Automated processes in distributed communication environments require tools for unifying heterogeneous multimedia services. The Teleservice Descriptor is introduced for generic handling and integration of traditional and innovative forms of communication. The Intelligent Resource Selector applies this descriptor for dynamic selection of communication end points and combination of necessary conv...

We address the partial realization problem for linear descriptor systems. A general solution to this problem using the Markov parameters of the system defined via its Laurent series is provided. For proper descriptor systems, we also discuss a numerically feasible algorithm for computing a partial minimal realization based on the unsymmetric Lanczos process. Applications to model reduction for ...

In this technical note, we discuss an algorithm for the computation of the L∞-norm of transfer functions related to descriptor systems. We show how one can achieve this goal by computing the eigenvalues of certain skew-Hamiltonian/Hamiltonian matrix pencils and analyze arising problems. We also formulate and prove a theoretical result which serves as a basis for testing a transfer function matr...

We describe a general framework for avoiding spurious eigenvalues — unphysical unstable eigenvalues that often occur in hydrodynamic stability problems. In two example problems, we show that when system stability is analyzed numerically using descriptor notation, spurious eigenvalues are eliminated. Descriptor notation is a generalized eigenvalue formulation for differntial-algebraic equations ...

The well-known positive real lemma characterizes positive realness of transfer functions of timeinvariant linear systems via the solvability of certain linear matrix inequalities. In this paper, we propose an extension of the positive real lemma and the underlying linear matrix inequalities to descriptor systems. We show that the solvability of these linear matrix inequalities is sufficient and...