基于Hopfield神经网络的遥感图像超分辨率识别算法

提出基于Hopfield神经网络的遥感图像超分辨率目标识别算法，它是利用模糊分类技术进行模糊分类，然后用分类结果约束Hopfield神经网络的方法．通过实验，可知Hopfield神经网络在学习样本少时．也能够输出分辨率相对较高的地物目标信息．因此．基于Hopfield神经网络的遥感图像处理方法，能够提高遥感图像的目标分辨率．使其目标特征信息更清晰．     

A New Robust Image Matching Method Based on Distance Reciprocal

Object matching between two-dimensional images is an important problem in computer vision. The purpose of object matching is to decide the similarity between two objects. A new robust image matching method based on distance reciprocal was presented. The distance reciprocal is based on human visual perception. This method is simple and effective. Moreover, it is robust against noise. The experiments show that this method outperforms the Hausdorff distance, when the images with noise interfered need to be recognized.     

Comprehensive Evaluation of Modern Enterprise Image with Theory of Fuzzy mathematics

Introduction　　Inthedevelopmentofthemarketeconomyandincreasingcompetitionamongenterprises ,amodernenterprisemustestablishesagoodenterpriseimagebesidesdevelopingnewproducts ,improvingthe qualityofproducts ,andsoon ,tosurviveanddevelop .In practice ,theent…     

半无限平面压电双材料中导电界面边裂纹与螺位错的相互作用

研究了半无限大压电双材料中导电界面边裂纹与螺位错之间的相互作用问题。首先利用无限大压电双材料的位错解和扰动的概念,推导了具有导电边界半无限大压电双材料的位错解,然后使用保角变换方法,得到了含有限长导电界面边裂纹半无限大压电双材料的位错解。基于所得到的解,给出了应力强度因子和作用在位错上的像力的显函表达式,并通过数值算例分析了相互作用机理。     

动车组主要关键部件安装状态图像检测系统的设计与实现

动车组关键部件安装状态图像检测系统(SEDS)以图像自动识别技术为核心,采集动车组关键部位(闸片及其附件、裙板三角锁、底板螺栓等)可视部位图像,自动检测动车组关键部位的安装状态,对关键部位安装状态的异常图像进行预警。文章还对安装在南昌西动车所出入库咽喉处的SEDS系统的应用情况进行了分析。     

图像识别技术在接触网悬挂状态检测中的应用

提出了一种新型基于计算机图像自动识别的接触网零部件悬挂状态检测算法。它与之前的人工肉眼图像判断和传统人工巡检相比,具有检测精度高、检测速度快、环境适应力强等优点。     

Image Segmentation Using an Improved Watershed Algorithm

IntroductionOne of the firstand mostimportantoperationsin image analysis and computervision is image seg-mentation.The aim of image segmentation is thedomain- independent partition of the image into aset of regions,which are visually distinct and uni-form…     

A New Region-of-interest Coding Method to Control the Relative Quality of Progressive Decoded Images

Based on the ideas of controlling relative quality and rearranging bitplanes, a new ROI coding method for JPEG2000 was proposed, which shifts and rearranges bitplanes in units of bitplane groups. It can code arbitrary shaped ROI without shape coding, and reserve almost arbitrary percent of background information. It also can control the relative quality of progressive decoded images. In addition, it is easy to be implemented and has low computational cost.     

Some Key Technologies of a New-type CNC Curve Grinding Machine

This paper presented a new-type CNC curve grinding machine, in order to conquer the disadvantages of conventional NC curve grinding machine and improve surface quality, dimensional accuracy and machining efficiency. The new-type grinder adopts some high and new technologies: ① the normal tracing device could make grinding wheel coincide with the normal direction of the machining points in work piece, and improve surface quality and dimensional accuracy; ② the digital image on-line recognition system could monitor machining process and compensate wheel wear in real time; ③ linear motor drive mechanism could realize the exact adjustment of the grinding head digitally and increase the machining efficiency. The math models of normal tracing and circular tolerance zone were presented. The experimental results show that the new-type CNC curve grinding machine equipped with the three devices mentioned above is easy to realize the precision grinding of any complex curve, and improve surface quality, dimensional accuracy and machining efficiency.     

基于遥感图像的地学信息单元特征提取与识别

为实现对地学信息单元的自动识别和分类,对地学信息单元的几何形状特征的提取及量测方法进行了研究,利用数学形态学方法实现对遥感图像的半自动提取地学信息单元的图形边缘.分别提取图形的面积、周长、面积周长比、形状参数、分形分维数等5个直观易测且具有判别意义的特征参数.利用这5个特征采用判别分析方法实现对地学信息单元的识别分类,并取得了较理想的结果和准确率.