Andrey Vavilin

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This paper describes a method for image classification and retrieval for natural and urban scenes. The proposed algorithm is based on hierarchical image contents analysis. First image is classified as urban or natural according to color and edge distribution properties. Additionally scene is classified according to its conditions: illumination, weather,(More)
In this paper we present an approach to detect traffic guidance signs and recognise the structure of junction information on them. The detection algorithm is based on using differently exposed images. These images are combined into one using tone mapping technique in order to minimize effects of bad environment conditions and low dynamic range of(More)
In the proposed work a method for generating HDR images based on exposure blending is described. Using three differently exposed images a single image with recovered details in shadows and highlights is generated. Input images are analyzed to locate over and underexposed regions based on pixels intensity. Local contrast of input images is also considered in(More)
The imaging capability of optical coherence microscopy (OCM) has great potential to be used in neuroscience research because it is able to visualize anatomic features of brain tissue without labeling or external contrast agents. However, the field of view of OCM is still narrow, which dilutes the strength of OCM and limits its application. In this study, we(More)
This paper proposes a method for increasing accuracy of the scene model generation. Reconstruction of 3D scene model is strongly affected by moving objects both artificial and natural. In the proposed method context analysis is applied as a pre-filtering operation used to detect and remove objects which could negatively affect reconstruction process.(More)