A prototype of an image processing system for the monitoring of conveyor belt systems in video real-time is described. To avoid completely hazardous situations, special requirements on the robustness and the computational efficiency (average belt speed up to 10 m/s) of the system under heavy climatic and illumination conditions have to be met.For the computation of the belt loading and the position of the conveyed masses the profile of the loaded belt is subtracted from a beforehand stored profile of the empty belt. Both empty and loaded belt profiles are estimated using the triangulation principle. A model based algorithm combined with a two step classificator is applied to detect large stones or other bulky objects from a sequence of profiles. The grey level characteristics of the conveyed masses are computed using features derived from the one-dimensional histogram. The structure of the masses is evaluated using a modified fractal operator. One class out of an in advance defined set of classes is selected. Image processing hardware based on the digital signal processor TMS32OC3O is applied.
In this paper we describe the concept of the total and the fine fractal dimensions, respectively. Then, an efficient lowcomplexity algorithm for computing the fractal dimension is described. The method is then extended to the concept of fine fractal dimensions in order to separate textural and structural information of fractal curves and surfaces. A multiresolution approach for further improvement of the measurement results is introduced. The application results for topographic images are shown.
The procedure of the qualitative analysis of complex technical systems is discussed. One may use such methods of analysis for time series characterized the functioning of such systems. These time serious aren't confirmed the hypothesis of trend existence. One may use at this qualitative analysis the methods of nonlinear dynamics and the theory of chaos. The basis for similar researches is Takens's theorem. The randomness of the studied dynamical system as the model of the complex technical system given by time realizations is established by means of Lyapunov's indicator. The state stability is estimated by Hausdorf's fractal dimension and the fractality index. Visual evaluation of the time series was carried out by means of the phase trajectory restoration procedure. As a result of the analysis of the phase points in the phase space the split attractor is indicated, which gives the chance to speak about its bifurcation.
In the article the function and the scale for the entropy evaluation of the current state of extremely high frequency (EHF-) sensors quality in the various technical systems which fits the requirements of universality and maximal independency from the human factor are offered. One may see such EHF-sensors for the analysis of the quick transformations of the biological liquids properties. It's high lighted that the available methods of the determination of technical systems' quality have essential flaws which consist in both subjectivism because the dominant role in the evaluation belongs to experts and legitimacy of providing them properties of universality which was proved by nobody.
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