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A feature point detection algorithm is presented based on the scale-space theory. The algorithm overcome the drawback that a typical single-scale Harris detector usually leads to either missing significant corner points or detecting false corner points due to noise and position displacement. Original matching is solved by similarity of the image gradient module and argument, and the crude matching...
The technique core of grain reserves automatical supervision and audit system which based on video is to identify the grain warehouse scene video, and accurately gets the sum of grain quantity. The key to identifying the quantity is the shape of package, and the key to identifying shape is processing and describing the boundary of package. Based on a lot of research and experiment on the edge detection...
This paper presents a new noise detection method, in which set eight differential operators, the every pixel gradient is obtained by the eight differential operator and image for convolution. Then an arithmetical mean, which comes from the convolution, is used as final comprehensive assessment indicators. The experimental results show that the method can reflect the impact of different types of noise...
In order to extract bottle boundary and pick out unqualified tube-type bottles which possibly have breaks and irregular shapes, a novel processing measure is taken based on wavelet transformation and mathematical morphology. Industrial bottle image contains noises so that traditional and theoretical image processing algorithms need to be improved. In addition, due to bottle inspection standard is...
In this paper we propose a method that simultaneously performs image denoising and salient curve extraction among random dot patterns using tensor voting. Given an image containing random dots, the pixels are first converted into a set of tokens to be preprocessed by tensor voting, then the voting results are binarized and thinned by a morphological filter to extract the salient curves. At last the...
This paper presents a Kalman-filter-based method, to track the direction-of-arrival (DOA) of a moving target using antenna array in mobile communications. There are two major new features about the proposed scheme. Firstly, traditional Kalman filter needs measurement transformed. However, it is difficult and costly to be obtained. And our method could work without this message. Secondly, the traditional...
Aiming at the limitation of the fuzzy neural network method for image enhancement presented by Dr. Russo, whose parameter was fixed and not flexible, a novel method of adaptive parameter selection was proposed in this paper. By calculating the difference between the gray value of each pixel and the median of its neighborhood, select adaptively smooth and sharp parameters. Compared with the method...
Watermark is a new effective digital copyright protection method and data security technology. A new scheme of image retrieval based upon digital watermarking has been proposed. First, embeds the binary watermark information in carried image, computes the value of NC (normalized correlation coefficient) between query watermark and extracted watermark,and gains the retrieval results. The watermarking...
Fuzzy c-means (FCM) clustering algorithm is a popular model widely used in segmentation of magnetic imaging (MRI) data. The conventional FCM does not take into account the spatial information of image and get the unexpected results of segmentation when dealing with some MRI contaminated by noise. Considering the intensities of ideal MRI are piecewise constant, we present an improved model to fuzzy...
In this paper, a new method of sparse coding shrinkage based on independent component analysis is proposed to reduce speckle in polarimetric SAR Images. With soft-thresholding operator on polarimetric SAR Image, this method reduces speckle effectively and preserved polarimetric properties. The experiment shows that the image edges are retained with the proposed method and the speckle is removed effectively.
Based on the convergence and stability of the new mean shift fast algorithm, an adaptive watermark algorithm in contourlet domain based on mean shift texture features clustering is proposed in this paper. Through the texture recognition method based on gray co-occurrence matrix, watermark is embedded into the coefficients in contourlet domain, which makes the capability of the watermark more covert,...
We apply the random-matrix approach to undress the noise of the cross correlation matrix constructed from Shanghai Stock Exchange (SSE) for the period 2001-2008. The empirical evidence shows that, about 7.4% of the eigenvalues fall out the RMT bounds, and the eigenvalues within the bounds agree with the universal properties of random matrix, implying a large degree of noise in the correlation matrix...
A scheme for packaged granary grain quantity intelligent reckoning based on image processing was proposed in this paper. According to the actual scene, the grain bag characteristic outline -- the boundary of the counter-band of light was presented and taken as the analysis object. An algorithm combining Canny operator with image morphological thinning are used to extract the outline. Then, a counting...
Two aspects of the superresolution reconstruction algorithm proposed by Fryer and McIntosh (FM algorithm) are considered in this paper. One is the sensitivity to the noise existed in low resolution images, and the other is the high computational complexity in the superresolution reconstruction process. The QM-SRR algorithm, presented in this paper, reconstructs the observation model using matrix form...
An improved color image enhancement algorithm based on MSR was proposed in this paper. The appropriate wavelet bases were selected to decompose the input image into three levels. Then different enhancement algorithms were employed to process the decomposed wavelet coefficients and scale coefficients. For the wavelet coefficients, after the analyzing of each level??s characters, a modified adaptive...
This paper adopted multiscale geometry method, distilled the principal component from the image after Contourlet transform, lowered the dimension of the high frequency subdomains, eliminated the noise by minimum variance cost function. The entire arithmetic without estimate noise, compared to Contourlet hard threshod denoising and wavelet hard threshod denoising, PSNR increased 1 dB, the denoising...
In view of iris disturbance of eyelid, eyelash and reflection spot affect the accuracy of iris recognition, a detection approach of non-iris region in the iris segment is proposed. Based on mathematical morphology knowledge, the proposed method uses the least squares combined with edge detection to determine eyelid occlusion, then, eyelash and reflection spot can be detected with threshold method...
A simple and efficient edge detection algorithm based on wavelet transform and morphology is proposed. Combined with dyadic wavelet transform and image gradient calculation, the smoothing filter operators are introduced. Then to the non-uniform illumination problem, a local thresholding, which determines the edges, can be constructed by the algorithm of maximization of between-class variance (Otsu??s...
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