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The conditions in the Altai Mountains make it a difficult area for archaeological on-ground surveys. Automatic surveying could facilitate decision making and planning as well as the building of a comprehensive database of archaeological monuments. We have tried three different approaches towards automatic detection of grave mounds in high-resolution optical data and found an object-class specific...
Modulation recognition of communication signal is to confirm the modulation style of communication signal in the condition with much noise. Wavelet transformation has a good localization characteristic in time-frequency domain, while the neural network has characteristics of self-studying, self-adaptation, and high stabilization and can improve the autoimmunization and intelligence of recognition...
This paper presents an apple recognition method based on texture features and Maximum Expectation (EM) algorithm for Gaussian Mixture Model (GMM). The images were converted to HSV space from RGB space and the H channel images were selected as interested images to be processed. The images of H channel were divided into blocks of 8*8 pixels and the texture features of the blocks were calculated. Angular...
There are two important research topics in the field of Music Information Retrieval (MIR). One is how to improve the robustness of features and the other is how to speed up the retrieval process. This paper improved the algorithms which proposed by Shazam company in these two aspects. We improve the robustness of the system by a new audio finger-printing extraction using computer graphics, and the...
An image watermarking scheme resistant to rotation scale translation (RST) attacks is proposed based on scale invariant feature transform (SIFT). Suitable feature points are selected to form a convex hull, which is then optimally triangulated by dynamic programming. The triangle chords inside the hull are then sampled equispacedly with secrect key K to obtain smaller triangles. The watermark is then...
A bionic mode simulating olfactory neural system, KIII model, and its application to face recognition are researched in this paper. The face image features are extracted based on singular value decomposition. Firstly, the whole face image is divided into sub-images with equal size. Then, the maximal singular value is selected as the sub-image feature after the sub-image is decomposed by singular value...
In this paper, a method based on signal matching to binarize low signal-noise rate bank check image is proposed. This method can extract information from the check image interfered with both complex background and imprinted seal. With the prior knowledge, the image projection function without noise is the source signal, the projection function of image binarized by iterative threshold will match the...
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