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The chaos characteristics of melt index have been first explored, and the Hilbert–Huang transform method and time delay embedding method are applied to multiscale dynamic analysis on the time series of the melt index (MI) in the propylene polymerization industry. The research results show that the embedding delay is 2, the embedding dimension is 5, the correlation dimension D2 is 1.57, and the maximum Lyapunov exponent is 0.143 for the melt index series, which provide clear evidence of chaotic multiscale features in the propylene polymerization process. Three intrinsic mode functions (IMFs) are decomposed from the melt index time series; the presence of non-integer fractal correlation dimension and positive finite maximum Lyapunov exponent are found in some IMF components. The PP melt index series are divided into two chaotic signals, a determined signal and a random signal respectively, and its complexity is therefore reduced. Furthermore, the coupling of subscale structures of the propylene polymerization is explored with the dimension of interaction dynamics and a robust algorithm for detecting interdependence. It is found that IMF(2) is the main driver in the coupling system of IMF(1)and IMF(2). All these provide a guideline for studying propylene polymerization process with chaotic multiscale theory and may offer more candidate tools to model and control propylene polymerization system in the future. 相似文献
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马光春 《喀什师范学院学报》2010,31(6):33-36
提出了一种基于数学形态学的多尺寸、多结构元素自适应边缘检测、增强图像的算法,用多结构的元素和大小不同尺度的元素先后检测图像的边缘,并按一定的权值进行融合处理来增强图像．实验结果表明,该算法可以较好地提取图像的边缘特征,保护图像的细节,增强图像的对比度,丰富图像的层次,且对噪声有较强的滤除作用． 相似文献
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Feature extraction from vibration signals has been investigated extensively over the past decades as a key issue in machine condition monitoring and fault diagnosis. Most existing methods, however, assume a linear model of the underlying dynamics. In this study, the feasibility of devoting nonlinear dynamic parameters to characterizing bearing vibrations is studied. Firstly, fuzzy sample entropy （FSampEn） is formulated by defining a fuzzy membership function with clear physical meaning. Secondly, inspired by the multiscale sample entropy （multiscale SampEn） which is originally proposed to quantify the complexity of physiological time series, we placed approximate entropy （ApEn）, fuzzy approximate entropy （FApEn） and the proposed FSampEn into the same multiscale framework. This led to the developments of multiscale ApEn, multiscale FApEn and multiscale FSampEn. Finally, all four multiscale entropies along with their single-scale counterparts were employed to extract discriminating features from bearing vibration signals, and their classification performance was evaluated using support vector machines （SVMs） Experimental results demonstrated that all four multiscale entropies outperformed single-scale ones, whilst multiscale FSampEn was superior to other multiscale methods, especially when analyzed signals were contaminated by heavy noise. Comparisons with statistical features in time domain also support the use ofmultiscale FSampEn. 相似文献
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多尺度几何分析方法用于图像去噪已经成为图像处理方向的研究的一个热点。简要介绍和分析了几种常用于去噪的多尺度几何分析方法(曲波变换、轮廓波变换、剪切波变换),其中剪切波能提供了更稀疏的表示,图像实现最优逼近。实验结果也证明,剪切波变换阈值去噪在主观视觉上与峰值信噪比优于其他多尺度分析方法。 相似文献
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拉萨河流域湿地脆弱性评价 总被引：3，自引：0，他引：3
引入生物完整性理论,在敏感性指标和人为干扰脆弱性指标基础上,增加了16个反映湿地植被、鸟类和鱼类状况的生物完整性指标。按照层次分析法构建指标体系,综合指数法计算湿地脆弱度,对拉萨河流域主要湿地的脆弱性进行多尺度评价。结果表明：①在村级、乡镇级和县级3个尺度上,拉鲁湿地、甲玛湿地、塘嘎郭湿地和茶巴朗湿地的脆弱度（R）分别为（3．6767,3．7337,1．9138,2．1757）、（2．7058,3．5844,2．8329,2．8461）和（3．5962、3．5923、2．9239、2．9371）。村级和县级尺度结果相近,与乡镇级尺度相差较大;②拉鲁湿地和甲玛湿地的脆弱性来源主要是放牧活动和气候因素,塘嘎郭湿地和茶巴朗湿地多由气候因素引起;③生物完整性是湿地脆弱性最直接的表现,通过湿地特有的生物群落状态直观地反映湿地的脆弱性,对改进湿地脆弱性评价方法、开展针对性的湿地保护和恢复工作具有重要作用。 相似文献
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D.J.J. Farnell F.N. Hatfield M. Reakes D. Parry 《Journal of The Franklin Institute》2008,345(7):748-765
We employed multiscale line operators (MSLO) in order to segment blood vessels in digital fundus images. Separately, a median filter technique was used in order to provide results that were compared to those of the MSLO. The green channel of the colour image was used, and both sets of results were further enhanced by subsequently employing a simple “randomly seeded” region-growing algorithm. We applied this approach to two sets of retinal images, namely, the ARIA (www.eyecharity.com/aria_online/) and STARE (www.ces.clemson.edu/∼ahoover/stare/) retinal image archives. The ARIA dataset contained colour fundus images from healthy subjects, diabetic subjects, and age-related macular degeneration (AMD) subjects. Similarly, the STARE dataset contained images from both “normal” (i.e., healthy) and “abnormal” (i.e., diseased) eyes. Manual segmentations of the blood-vessel structure for all images in the ARIA and STARE datasets were obtained by a retinal image interpretation expert. These images were then taken to be our gold standards. Receiver-operator characteristic (ROC) curves were determined and the areas under the ROC curve (AZ) were obtained. A large increase in efficiency for our MSLO algorithm was observed for the entire datasets (ARIA AZ=0.899; STARE AZ=0.953) compared to basic thresholding alone (ARIA AZ=0.608; STARE AZ=0.753). Interestingly, the simple median filter algorithm followed by region growing also performed well (ARIA AZ=0.888; STARE AZ=0.947). Our results compared favourably to those results of previous segmentation procedures for the STARE dataset. As expected, the best results were found for the healthy control group for ARIA and for the normal subjects for STARE. 相似文献
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本文将边界序列的多尺度描述和傅里叶描述符结合起来,得到闭合边界的多尺度傅里叶描述符。该方法先将边界序列呈现到不同的尺度空间,然后进行傅里叶变换,得到了不同尺度空间的傅里叶描述符。分类实验表明,该方法提取的特征具有较好的分类特性。 相似文献
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