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First, a non-negative tensor factorization algorithm is improved by imposing sparseness constraints on it. Secondly, the bispectral images of mechanical signals are obtained and stacked to form a third-order tensor. Thirdly, the improved algorithm is used to extract features, which are represented by a series of basis images from this tensor. Finally, coefficients indicating these basis images' weights in constituting original bispectral images are calculated for fault classification.

首先,改进已有的非负张量分解算法,加入稀疏度控制策略;其次,将机械振动信号的双谱图像堆叠为一个三阶张量;然后利用改进后的分解算法对该张量进行二次故障特征提取,得到代表局部特征的"基图像";最后,通过计算得出基图像在构成原双谱图像中所占的权重,并将得到的权重向量用于故障分类。

Textured image segmentation is of great significance not only to many researches of computer vision and image process but also to practical application.

纹理图像分割对于许多计算机视觉和图像处理的研究具有重要意义,在实际中也已经得到了广泛的应用,几乎出现在有关图像处理的所有领域,并涉及各种类型的图像

The selected image salient features are used to compute geometric transformation parameter of watermarked images. After recovering the size and aspect of watermarked images, the watermark detector is synchronized with embedded watermark. Thus the watermark detector can detect the watermark.

利用提取的图像固有特征点估计水印化图像几何变换参数,恢复经几何变换的水印化图像,同步水印检测器与图像中嵌入的水印信号,使水印检测有效检测嵌入的水印信号。

During the pretreatment process for changing true color image of TCZ to gray image,the adaptive calculation for trichroism coefficients is realized by using the statistics as a foundation and focusing on concrete true color image.

在接触斑点真彩色图像的256色灰度化预处理过程中,根据数理统计思想,针对具体真彩色图像,实现了三原色系数的自适应计算,所获得的预处理效果为后续的图像分割提供了完整的图像信息。

With unbiasedness proved,it analyzes precision,describles probability distribution model of successful match in serial image match,and gives the definition of SIM algorithm match probability.

并给出了成功匹配的概率分布模型,定义了序列图像匹配算法的匹配概率,通过实例分析了序列图像匹配算法的匹配概率、图像序列数、单幅匹配概率之间的定量关系,为实际图像匹配系统算法、序列数目的选择提供了重要的理论决策依据。

In this study, a new image retrieval algorithm based on region color and spatial information is presented. Concerning the color information, the perceptually uniform HSV color space has been employed.

在分析了基于图像颜色信息和空间信息进行图像检索的基础上,提出了一种新的基于图像颜色和形状的图像检索算法。

A variational formulation level set model based on the image global information is obtained, which can detect contours both with and without gradient based on global information and eliminate the re-initialization procedure. The stopping term does not depend on the boundary gradient of the image, which overcomes greatly the "over segmentation".

针对这种情况,该文提出了一种基于图像全局信息并且不需要重新初始化的变分水平集红外图像分割方法,不考虑图像边缘梯度的影响,将图像全局信息作为外部能量项,在很大程度上克服了边缘模糊时过分割的情况。

In this paper, the sorting of wear, the mechanics of wear particle formed and the characteristics of wear particles are introduced, and morphology characteristics parameter of wear particle are determined, which is particle brim digital feature. Based on image characters, after pre-process, section and extracting of contour parameter of wear particle using image process technique, four shape character parameters are extracted by fourier series expansion. After analyzing fundamental principle and shortcomings of neural network, current BP algorithm is improved in output optimization, network linearization implication optimization and adding momentum, and then astringe speed of BP algorithm.

本文介绍了磨损的分类以及磨粒的生成机理、磨粒的形态特征,应用摩擦学系统分析的观点,确定磨粒边缘数字特征为磨粒的识别特征参数;根据磨粒图像的特征,利用计算机图像处理技术对磨粒图像进行预处理、分割、轮廓参数的提取,采用傅立叶级数展开式提取磨粒四个形状特征参数:圆形度、散射度、凹度、细长度;针对 BP(Back-Propagation)神经网络收敛速度慢的特点,对现行的 BP 算法进行改进,并通过实验验证改进后的网络收敛速度快;研究设计了磨粒图像采集系统;利用 BP 算法建立磨损磨粒自动识别算法模型 AWPRM(Auto Wear Particle Recognition Model)。

Bandelet used for image segmentation Matlab code for two categories of images, three types of images, 4 Image style.

用bandelet进行图像分割的matlab代码,适合2类图像,3类图像,4类图像的风格。

In this paper,we propose a color image denoising algorithm based on the second generation Bandelet transform to aim at the latest development of the characteristics of the Bandelet transform. The algorithm takes full advantage of the inherent geometry regularity of color images, gets the optimization expression, sets the threshold using noise intensity, and realizes color image denoising using the softthreshold function.

针对目前最新发展的Bandelet变换的特点,本文提出了基于第二代Bandelet变换的彩色图像去噪算法,充分利用彩色图像内在的几何正则性,自适应获得彩色图像的最优表示,通过噪声强度设置阈值,并利用软阈值函数实现彩色图像去噪。

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