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Influenced by many factors, the characteristics of airport energy consumption are stochastic, nonlinear and dynamic. In order to predict the airport energy consumption and its trend, an unbiased grey markov prediction model was proposed. To weaken the random fluctuations of original energy consumption data sequence, accelerate its translation transformation and geometric mean transformation firstly...
We propose a novel relative orientation feature (ROF) to represent the contour or skeleton of a two-dimensional object. With the aid of ROF, the shapes of two objects with fine structures can be compared. Matching with ROF is invariant with respect to translation, rotation and scaling transforms. Experimental results on hand gesture recognition demonstrate the effectiveness and efficiency of ROF with...
A novel seal registration method for Chinese seal verification is proposed in this paper using shape and layout characteristics. Seal registration is the process that aligns the sample seal imprint with the model seal imprint geometrically. The proposed method firstly classifies the seal imprints into one of the three shapes (rectangle, ellipse and circle) which are most common in China. Rotation...
In this paper, the dilation and translation transforms of the mother wavelet are taken as the values at different points, and combining with the discreet wavelet transform theory and the mean idea, the mean model and related algorithms for one-dimensional (1-D) and a kind of multidimensional wavelet networks are proposed. And simulation instance analyses proved that the algorithm is effective, general...
This paper deals with image processing using spatial (geometric) transforms such as translation, rotation, and scaling, shearing, and projective transform. These transforms can be used for image correction. Translation, rotation, and scaling transform are also called affine transform which is a subset of projective transform. All the methods are given experimental results implemented in Matlab.
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