基于多输出端差动差分电流传送器的模拟电感

为在电路中消除无源电感器，以利于实现电路全集成，提出了一种基于多输出端差动差分电流传送器(MDDCC)的模拟电感电路，并用其和差动差分电流传送器(DDCC)实现的模拟电感构成了连续时间高通滤波器。用PSPICE仿真分析比较了两种模拟电感构成的高通滤波器的特性，仿真结果表明，提出的电路方案在组成高通滤波器时幅频特性优于DDCC。     

以视点及画面位置为初始参数的透视变换矩阵

本文分析讨论了以论点及画面位置的透视变换矩阵,导出了这种条件下的一般变换式和一种特殊变换式.这样的初始参数对于绘制建筑透视图时更为合理、更符合实际构思过程.     

枇杷枝条修剪机器人的视觉识别和框架提取

通过对枇杷枝条特征图像的分析,提出了一种枇杷枝条图像识别和框架提取的方法.该方法首先通过对亮度进行转换,找到通用的分割阈值;然后将分割图像和转换的二值图像进行叠加,获取初始枇杷枝条特征图像;再利用枇杷枝条的连枝特征进行第二次特征图像的提取和噪音的消除;之后通过枝条边界轮廓和非合理间断部分的补偿处理,完成枇杷枝条框架的提取,获得机器人修剪所需的枇杷枝条直径和中心点坐标.文中还通过实例对该方法的准确性进行了验证,枇杷枝条图像正确识别率达91.2%.     

全集成连续时间滤波器研究的进展

全集成连续时间滤波器是近年来模拟VLSI(超大规模集成电路)技术取得最重要进展的领域之一,也是当今国际上的前沿课题。它的诞生向传统的连续时间信号处理技术——开关电容技术和数字滤波技术,提出了强有力的挑战。本文综述了这一研究领域的发展现状;评述了近年来的新进展;并展望了这一研究领域的发展和应用前景。     

复杂工业环境下激光束中心快速精确定位方法

针对工业现场在线检测对计算机视觉算法稳定性、实时性、精度和抗干扰能力的要求,结合两万吨挤压机活动部件五自由度实时监测系统的具体情况,在现有方法的基础上,提出了一种复杂工业环境下激光束中心快速精确定位方法.首先,在图像预处理的基础上通过Canny算法实现图像边缘二值化,并对得到边缘进行筛选,剔除不符合光斑轮廓特征的边缘.接着,采用一种改进的快速Hough变换初步确定激光光斑的大致位置和半径,依据Hough变换计算结果设置光斑有效区域,在有效区域内通过最小二乘法椭圆拟合得到亚像素精度的激光束中心坐标.实验研究表明,该方法在存在噪声的环境下单次检测时间小于50ms,精度达0.15像素(pixel).可在较强干扰下实现激光束中心的精确定位,与传统方法相比,精度高,实时性好,适应性强.     

Multi-objective dynamic detection of seeds based on machine vision

An approach to inspecting massive numbers of moving seeds was studied based on the techniques of dynamic inspection and machine vision. A progressive scanning CCD camera with external trigger function was used for real-time capture of dynamic images of seeds. The methods based on R channel of RGB (Red, Green and Blue) and region-dependent segmentation were adopted to reduce the data size of image processing and improve the efficiency of seeds inspection. All the seeds were sorted into four grades according to their morphological characteristics, such as surface area, perimeter, major axis, minor axis, circularity and eccentricity. The detection experiments indicated that the eligible ratio of the classifications was about 81.90% by this real-time inspection system.     

基于机器视觉的带钢表面缺陷检测系统

研究了一种基于机器视觉的带钢表面缺陷检测系统，它采用模块化硬件设计，图像处理软件满足实时检测的要求，可以有效地检测了生产线上的带钢表面缺陷。为该系统设计了一种基于规则表分类器、模糊算法及人工神经网络的组合式多级分类器，具有一定的学习能力，当待测材料或有关设备发生变化时，系统可以根据缺陷样本库对分类器进行训练，以适应生产线的相关变化。系统具有较强的容错性、适应性及可移植性。     

Natural history and the formation of the human being: Kant on active forces

In his 1785-review of the Ideen zur Philosophie der Geschichte der Menschheit, Kant objects to Herder's conception of nature as being imbued with active forces. This attack is usually evaluated against the background of Kant's critical project and his epistemological concern to caution against the “metaphysical excess” of attributing immanent properties to matter. In this paper I explore a slightly different reading by investigating Kant's pre-critical account of creation and generation. The aim of this is to show that Kant's struggle with the forces of matter has a long history and revolves around one central problem: that of how to distinguish between the non-purposive forces of nature and the intentional powers of the mind. Given this history, the epistemic stricture that Kant's critical project imposes on him no longer appears to be the primary reason for his attack on Herder. It merely aggravates a problem that Kant has been battling with since his earliest writings.     

基于机器视觉的脱绒棉种外观质量检测装置的研究

为实现基于脱绒棉种外观特性对红种、破碎棉种的分选,搭建了脱绒棉种外观质量检测的硬件装置,并基于Visual C＋＋6．0开发了检测的软件系统。提取了适合脱绒棉种分级的3个关键的特征参数：颜色、圆形度、粒型;基于BP神经网络实现了脱绒棉种的分级,通过试验验证,该神经网络的拟合性较好。