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2D barcode images are always obtained in the complex background or uneven illumination situation. Basing on wavelet multi-resolution analysis, we propose a novel binarization method to 2D barcode images. Extracted from low frequency of the sub-image after wavelet decomposing, the feature vector is used as the adaptive threshold of the binarization process to the original image. By optimizing the threshold...
For the recognition of different similar airplane targets, a set of wavelet moment invariants are applied based on the invariant moment theory and wavelet analysis, and a feature selection algorithm based on the DB Index guidelines is presented in order to get a locally optimum feature set. The experimental results prove that this algorithm is superior to Hu's moment invariants and Zernike's moment...
At present, there is a strong trend of intelligence and miniaturisation of equipments accord with the rise of the Intelligent Equipment, the Mobile Internet and the Internet of Things. As the comprehensive research subject of the Artificial Intelligence and Pattern Recognition, Statistics Theory, Signal Processing subjects, Speech Recognition has got enough attention and development for a long time,...
Steerable Pyramid is a flexible wavelet decomposition method. The statistics of the wavelet coefficients is non-Gaussian, which follow the generalized Gaussian distribution (GGD). In this paper, we exploit the GGD as the modeling of the sub-band coefficients and estimate the parameter corresponding. We use the generalized non-local means expression and propose an generalized non-local means algorithm...
Research on de-noising algorithm is of considerable importance in the field of image processing, and most of the research efforts about wavelet image de-noising focus on how to select the threshold. In this article, a new adaptive de-noising algorithm based on multi-wavelet transform is proposed in order to remove the Gaussian noise from the blurred image. Firstly, Gaussian noise deterioration of...
According to the researchful need of ice mechanics and change regular in Inner Mongolia section of Yellow River, the time series that temperatures and runoff changes are analyzed with wavelet analysis principle. Through analyzing wavelet transform coefficient and wavelet variance on BaYanGaoLe, SanHuHeKou, TouDaoGuai of Inner Mongolia section, and the time series rules are summarized of temperatures...
We propose a new method of image de-noising based on Nonsubsampled contourlet transform. After processing Nonsubsampled contourlet transform on noising image, de-noise the image by the method which calculate threshold by considering both inter-scale and neighbor-scale. The method of inter-scale uses direction feature of Nonsubsampled contourlet transform to de-noise image. The method of neighbor-scale...
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