Difficulties in algorithmic simulation of natural thinking point to the inadequacy of information encodings used to this end. The promising approach to this problem represents information by the qubit states of quantum theory, structurally aligned with major theories of cognitive semantics. The paper develops this idea by linking qubit states with color as fundamental carrier of affective meaning. The approach builds on geometric affinity of Hilbert space of qubit states and color solids, used to establish precise one-to-one mapping between them. This is enabled by original decomposition of qubit in three non-orthogonal basis vectors corresponding to red, green, and blue colors. Real-valued coefficients of such decomposition are identical to the tomograms of the qubit state in the corresponding directions, related to ordinary Stokes parameters by rotational transform. Classical compositions of black, white and six main colors (red, green, blue, yellow, magenta and cyan) are then mapped to analogous superposition of the qubit states. Pure and mixed colors intuitively map to pure and mixed qubit states on the surface and in the volume of the Bloch ball, while grayscale is mapped to the diameter of the Bloch sphere. Herewith, the lightness of color corresponds to the probability of the qubit’s basis state «1», while saturation and hue encode coherence and phase of the qubit, respectively. The developed code identifies color as a bridge between quantum-theoretic formalism and qualitative regularities of the natural mind. This opens prospects for deeper integration of quantum informatics in semantic analysis of data, image processing, and the development of nature-like computational architectures.
In this article the task of determining the current position of pneumatic actuators is considered. The solution to the given task is achieved by using a technical vision system that allows to apply the fuzzy clustering method to determine in real time the center coordinates and the displacement position of a color label located on the mechatronic complex actuators. The objective of this work is to improve the accuracy of the moving actuator’s of mechatronic complex by improving the accuracy of the color label recognition. The intellectualization of process of the color shade recognition is based on fuzzy clustering. First, a fuzzy model is built, that allows depending on the input parameters of the color intensity for each of the RGB channels and the color tone component, to select a certain color in the image. After that, the color image is binarized and noise is suppressed. The authors used two defuzzification models during simulation a fuzzy system: one is based on the center of gravity method (CoG) and the other is based on the method of area ratio (MAR). The model is implemented based on the method of area ratio and allows to remove the dead zones that are present in the center of gravity model. The method of area ratio determines the location of the color label in the image frame. Subsequently, when the actuator is moved longitudinally, the vision system determines the location of the color label in the new frame. The color label position offset between the source and target images allows to determine the moved distance of the color label. In order to study how noise affects recognition accuracy, the following digital filters were used: median, Gaussian, matrix and binomial. Analysis of the accuracy of these filters showed that the best result was obtained when using a Gaussian filter. The estimation was based on the signal-to-noise coefficient. The mathematical models of fuzzy clustering of color label recognition were simulated in the Matlab/Simulink environment. Experimental studies of technical vision system performance with the proposed fuzzy clustering model were carried out on a pneumatic mechatronic complex that performs processing, moving and storing of details. During the experiments, a color label was placed on the cylinder, after which the cylinder moved along the guides in the longitudinal direction. During the movement, video recording and image recognition were performed. To determine the accuracy of color label recognition, the PSNR and RMSE coefficients were calculated which were equal 38.21 and 3.14, respectively. The accuracy of determining the displacement based on the developed model for recognizing color labels was equal 99.7%. The defuzzifier speed has increased to 590 ns.
Modern hardware systems of processing the video data stream for color coding apply the principle of constant brightness proposed in the development of the NTSC color coding system. This principle, like its implementation, is not free from drawbacks: loss of information on the clarity of the encoded color images, degradation of clarity in achromatic details and images as the color saturation increases, etc. In addition, the use of video data decoding formats in digital video data processing systems, such As 4:2:2, 4:2:0, 4:1:1, distorts the decoded video image.
An alternative approach for encoding a color video stream is to apply the principle of constant color luminance. The work describes the coding according to the principle of constant color luminance. A comparative analysis of the transformed images is carried out with the help of the two principles given. The advantage of applying the principle of constant color brightness in digital video coding systems is shown. It is shown that using the principle of constant color brightness it is possible to obtain a gain of more than 6 dB.
The implementation of the principle of constant color luminance for real and integer modern hardware platforms is described. A comparative analysis of the realizations of the principles of constant brightness and constant color luminance was carried out, showing the advantage of applying the principle of constant color luminance for some modern processors.
The application of the principle of constant color luminance in digital video encoding systems can help improve the quality of recoverable color coded images.
In automatic annotation systems, a scene categorization involves the compulsory stage of descriptor extraction in order to build a histogram of visual words. A family of new color descriptors based on point features, which are invariant not only to geometric transforms but also light changing, is investigated. In following, the algorithm executes a preliminary color and texture segmentation based on J-SEG algorithm. The received regions are ranked by areas. The extended color descriptors computing in 5–7 large area regions are applied for visual word construction. Then images are categorized by support vector machine. The comparative results of experimental estimators present the precision values of image categorization by use a test dataset containing 2,688 images.
In this paper we discuss the problem of ice situation in the Arctic and safe navigation monitoring system development for the Northern Sea Route with application of intelligent geoinformation system. Case study illustrates the adjustment of the ship route on the part of the Northern Sea Route in accordance with the ice situation using the developed monitoring system.
Existing objective and subjective TV image quality assessment metrics are considered. New metrics of digital image quality test are founded. Local entropy approach to form objective TV image quality assessment metrics is demonstrated experimentally.
The entropy approach to the blind source separation problem in signal processing is founded. The approach is illustrated on examples of speech filtering tasks.
The method of an acceleration of algorithms for hierarchic image segmentation is proposed. The algorithm is applied when functionality of the decision rule does not need segments features recalculation on an each iteration.
The entropy approach to the estimation of information losses while coding TV pro-grams is founded. The application of this approach to multicriterial optimization using Pareto methodology is considered
The ways of development of data transmission systems, computing and control systems based on nanotechnological electronic components are considered. The conceptual scheme for determination of limits of perspective data transmission systems as prototype of programmed radio (SDR — Software Defined Radio) with nanotechnology application is proposed.
The overview on evolution of digital technologies is leaded. The difference between paradigm of digital realization of analog models and digital technologies is noted. The algorithmic approach to audio video signal processing is considered.
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