The three natural characters of image edge are that the gray intensity distribution in neighborhood of image is ordered, directive, and structurized. Through quoting fuzzy entropy, the authors construct three informat...
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The three natural characters of image edge are that the gray intensity distribution in neighborhood of image is ordered, directive, and structurized. Through quoting fuzzy entropy, the authors construct three information measures fuzzy entropy-based to describe the natural characters of image edge. Three component vectors for describing three natural characters of image edge are gotten via trained image samples. Firstly, a fuzzy Kohonen clustering network (FKCN) is trained with some feature vector consist of the three component vectors, and then the edge points in a new image are directly extracted by using the trained FKCN. The method does not need any threshold;more sensitive for weak edge detection;has better anti-noise performance since the influence of noise is adequately considered when the feature vector is selected.
Image interpolation has been widely used and studied in the fields of image *** the different complexities along the different directions,a novel image interpolation method based on gradient analysis is presented in t...
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ISBN:
(纸本)0780394224
Image interpolation has been widely used and studied in the fields of image *** the different complexities along the different directions,a novel image interpolation method based on gradient analysis is presented in this ***,for each point that need to be interpolated,it's the gradient values along the horizontal and vertical directions are estimated ***,different interpolation methods are carried out along these two directions according to the gradient values,that is a higher order interpolation method is applied if the gradient value is greater than certain threshold;otherwise,a lower order interpolation method is *** method gives an attention to the precision and complexity of interpolation procedure. Experimental results show that the proposed method is feasible and promising.
This paper focuses on the design of autonomous and collaborative control strategies to govern the relative distances among multiple spacecraft in formation with no ground intervention. A coordinate load-sharing contro...
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In this paper, using the fuzzy theory and gray theory, a concept of the degree of fuzzy infection and a new reliability analysis method based on the relation of fuzzy infection were proposed, and the mathematical mode...
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This paper is concerned with improvement of the KDI-based fault detection method so far developed by authors for nonlinear black-box systems. When modeling the system, Quasi-ARMAX model with multi-model structure is u...
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Considering the fast respond and high generalization accuracy of the min-max modular support vector machine (M3-SVM), we apply M3-SVM to solving the gender recognition problem and propose a novel task decomposition me...
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In clinical practice, digital subtraction angiography (DSA) is a powerful technique for the visualization of blood vessels in X-ray image sequences. Different with traditional DSA image registration processes, in our ...
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A design technique of high speed digital signal PCB and investigates simulation, and verification methods based on IBIS models for CompactPCI bus single board computers was developed. The results on real application s...
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A design technique of high speed digital signal PCB and investigates simulation, and verification methods based on IBIS models for CompactPCI bus single board computers was developed. The results on real application show that it is effective and feasible.
In this paper we discuss the analogy between spatial distributed sensor network analysis and image processing. The analogy comes from the fact that in high density sensor networks the output of sensors is correlated b...
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In this paper we discuss the analogy between spatial distributed sensor network analysis and image processing. The analogy comes from the fact that in high density sensor networks the output of sensors is correlated both spatially and temporally. This means that the output of a sensor is correlated with the outputs of its neighbours. This characteristic is very similar to the pixels' output (intensity) in video signals. The video signal consists of multiple correlated frames (correlation in time), and each frame consists of large number of pixels, and usually there is high correlation between pixels (spatial correlation). By defining this relation one can use the well-known image processing techniques for sensor data compression, fusion, and analysis. As an example we show how to use the quadtree image decomposition for sensor spatial decomposition.
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