利用小波多尺度积实现裂纹缺陷的边缘检测

提出了一种基于小波变换的图像边缘检测方法,即利用边缘信息的多尺度特性和小波变换模极大值对图像进行多尺度分解,将相邻尺度的小波系数相乘增强边缘,再通过双阈值去噪的方法,得到最终的图像边缘。实验结果表明该方法很好地解决了噪声和坏边的问题,边缘连续的同时又保证了边缘定位的准确性,采用双阈值的算法明显优于采用单阈值,可以有效用于结构件的检测。     

一种基于小波变换的图像边缘检测方法和实现

介绍了小波变换的基本理论以及小波分析方法用于图像边缘检测的基本原理及利用小波变换进行边缘检测的方法。接着重点研究了基于B样条小波的多尺度边缘检测,并且利用这种方法在几个不同尺度下分别提取了图像边缘。可以看出该方法不仅能准确检测出图像边缘,而且能有效地抑制噪声,优于其他已有的边缘检测方法。     

一种新的彩色图象边缘检测方法

通过对HSV彩色视觉模型的分析,充分利用边缘信息的多尺度特性、小波变换和多尺度基本形式的特性,提出了基于HSV色度空间的,应用小波多尺度基本形式对彩色图象进行多尺度边缘检测的新方法.实验结果表明,该方法能准确检测出彩色图象的边缘,效果较好.     

一种新的基于小波变换的边缘检测方法

本文根据经典的基于小波变换的多尺度边缘检测方法,提出了关于一维信号和二维信号的基于相邻尺度上小波变换乘积的边缘检测方法,该方法可以有效地增强边缘和抑制噪声,对一维和二维信号的计算机仿真实验表明该方法是正确的和有效的。     

一种改进的小波自适应边缘检测算法*

为合理选择小波变换尺度,解决抑制噪声和边缘定位之间的矛盾,提出了一种基于局部熵的自适应尺度选择方法,采用局部熵预处理图像,根据熵值大小自适应地选择小波变换的尺度,各区域分别按照相应的尺度进行小波变换检测图像边缘。实验结果表明,此方法比基于均方差的小波自适应算法检测到的边缘更清晰,定位更准确。     

基于小波多尺度分析的图像边缘检测

提出了小波多尺度分析的图像边缘检测方法,给出了该边缘检测方法的算法步骤及流程,解决了第一代多尺度边缘检测所存在的"边缘仅定义为信号的奇异性表现和滤波尺度参数难以选择"问题.应用小波变换在不同尺度和同一尺度下呈现的规律性,对轴类零件图像进行边缘检测实验,获得了清晰且精度较高的图像边缘检测效果.     

抗噪的多尺度形态学边缘检测算法

为了使图像边缘检测算法的抗噪声能力更强,能检测到更加丰富的边缘信息,在多尺度形态学边缘检测算法的基础上,提出一种抗噪的多尺度形态学边缘检测算法。一方面,用小波变换法替代常用的加权平均法来融合各尺度下获取的边缘图像,对小波分解后得到的低频系数和高频系数分别采取不同的融合策略,从而有效地保留边缘的细节信息,使得融合后获得的图像清晰且细节丰富。另一方面,在用不同尺度的结构元素检测图像边缘时都采用抗噪的检测算法,因此,该算法具有较强的抗噪声能力。仿真结果表明,该算法既能有效地降低噪声对检测结果的影响,又能获得较理想的边缘图像。     

基于小波变换的含噪人耳图像边缘检测

为了取得含噪人耳图像的理想边缘轮廓,以实现人耳识别技术的进一步应用,对小波变换边缘检测方法进行了研究,分析了噪声消除与小波变换尺度之间的关系,详细论述了模局部极大值提取边缘的原理.针对含噪人耳图像的特殊性,阐述了一般去噪和边缘检测方法的不足,并针对这些不足提出了改进方法,首先利用样条小波多尺度分解后,相邻尺度小波系数相乘得到尺度积,然后进一步求得尺度积的模和相角,通过自适应阈值去噪提取图像边缘,取得了较好效果.     

一种基于小波变换的图像边缘检测方法和实现

介绍了小波变换的基本理论以及小渡分析方法用于图像边缘检测的基本原理及利用小波变换进行边缘检测的方法。接着重点研究了基于B样条小波的多尺度边缘检测,并且利用这种方法在几个不同尺度下分别提取了图像边缘。可以看出该方法不仅能准确检测出图像边缘,而且能有效地抑制噪声,优于其他已有的边缘检测方法。     

基于小波多尺度积的边缘检测算法

在分析小波变换对噪声和边缘点影响规律的基础上，结合多尺度乘积的特性，提出了一种基于小波变换的多尺乘积边缘检测新算法。通过边缘检测性能评测计算和实验验证表明，该算法能有效增强边缘、抑制噪声，且定位精度高。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.