基于ARM的视觉导航AGV图像处理方法研究

为了实现更加简单高效的标识线图像的检测与处理,提出了一种优化的基于ARM的视觉导航AGV标识线图像处理方法。首先对采集到的图像进行灰度化处理并使用Otsu算法对图像进行阈值分割;然后采用优化的中值滤波算法进行图像滤波并使用高效的边缘提取策略获取路径边缘特征;最后采用角度判断的方法剔除错误点并使用最小二乘法拟合成路径的中心线。实验结果表明,该方法有较高的准确率和较好的实时性,可以满足工业生产中的实际需求,适用于基于嵌入式系统开发的视觉导航AGV。     

语音压缩处理C程序在DSP中的实现

介绍语音压缩处理C程序在美国德克萨斯仪器公司芯片为TMS32 0VC5 4 10数字信号处理器 (DSP)的实现方法     

闪光照相CCD图像的自适应中值滤波方法

中值滤波是一种在去除噪声的同时能较好地保护图像边缘细节的非线性图像处理方法。为了滤除闪光照相CCD图像中的脉冲噪声，同时能更好地保护图像边缘，提出了一种改进的自适应中值滤波方法。该方法采用局部中值和局部方差作为判断噪声点的阈值，实现了局部自适应的中值滤波，克服了传统自适应中值滤波方法的缺点，对椒盐噪声和随机脉冲噪声均有较好的滤波效果。实验结果表明，该方法消除图像脉冲噪声十分有效，对闪光照相CCD图像的处理结果也较好。     

基于中值预滤波的航空图像小波去噪算法研究

结合航空图像的噪声来源与图像特性,提出一种基于中值预滤波的图像小波去噪算法.图像首先经中值滤波器进行预滤波,滤除随机的脉冲式噪声,然后对处理后的图像进行小波变换,与给定阈值相比,对可明显判为信号或噪声的系数进行相应处理;对不确定为信号或噪声的系数进行多尺度上的相关性追溯,判别其归属后进行处理.实验结果表明:该方法客观上提高了图像的信噪比,主观上使去噪后的图像纹理分明,能更好地适合人眼的视觉特性,有利于航空图像的分析、判读.     

QR码图像预处理中的滤波研究

QR码图像采集过程中会出现椒盐噪声,为了在滤除图像椒盐噪声的同时能很好地保持图像的细节,将几种常用中值滤波方法应用到QR码的图像预处理中,进一步对其结果进行比较,得出QR码图像中值滤波的规律。据此提出利用窗口系数的新中值滤波方法,先二值化,然后进行基于滤波窗系数的中值滤波处理,经过实验比较找到一组系数。实验结果表明:将该系数的中值滤波用在QR码图像预处理中可以大大提高译码的效率和准确率。在加噪一定情况下,实验的识别率达到了100%。     

MSC1210电源控制器的程序优化

为了解决兰州重离子研究装置( HIRFL ) 电源控制系统中的MSC1210 控制模块在调束过程中出现的各种故障,对其主芯片程序进行了优化设计。首先介绍了控制器的各种故障现象,分析了形成原因,然后制定了详细的设计方案,最后采用了以状态机为基础的指令接收过程、带校验机制的通信方式及远程指令复位等方法进行程序优化。实验室测试和现场使用结果表明,优化后的控制器运行稳定可靠,满足加速器的需求。The MSC1210 control module is one of the most important power supply controllers of Heavy Ion Research Facility in Lanzhou ( HIRFL ), but there are several problems during beam tuning. In order to deal with the problems,the main chip’s program was redesigned. In this paper we introduced the controller’s fault phenomena, and analyzed the reasons; then scheduled the optimized program in detail. Several methods were employed to improve the system performance, including instruction receiving process which is based on state machine, the communication mode with parity mechanism, and the remote instruction reset method. Both laboratory and commissioning tests indicate that the optimized controller is stable and reliable, and meet the operation requirement of HIRFL.     

基于粗糙集与小波变换的图像融合算法

粗糙集理论是处理不确定性问题的数学方法，本文提出了基于粗糙集与小波变换相结合的图像融合算法。该方法首先将粗糙集理论应用于图像滤波中，对含有椒盐噪声的图像进行粗糙中值滤波，然后对滤波后的图像进行小波融合。实验结果表明，粗糙中值滤波有较强的去噪能力，且较好地保持了图像的细节信息，在此基础上进行小波融合，使得融合结果图像具有良好的效果。     

基于JASMIN框架多物理耦合程序的性能优化及分析

基于并行应用支撑软件框架JASMIN的辐射流体与粒子输运耦合程序RHSn2D,采用最小邦元固定处理器数目的并行策略,计算实际模型的并行规模扩展至8192核,并行效率约为16%.集成程序时间分析,验证软件框架底层MPI并行环境聚合通信对于并行优化算法(尤其是辐射流体计算时间)的影响.     

改进的Canny图像边缘检测算法

边缘检测是图像处理中非常重要的一个环节,针对图像边缘检测中噪声抑制与细节保留之间的矛盾,提出了一种改进的基于Canny算子的边缘检测算法,采用小波变换和改进的自适应中值滤波器替代Canny算法中高斯滤波器对图像做去噪工作;采用3×3邻域代替Canny算法中2×2邻域来计算梯度幅值.仿真实验结果较好地说明了改进算法的性能...     

改进的中值滤波算法在图像去噪中的应用

 针对标准中值滤波方法存在的不足,结合均值思想提出两种改进的中值滤波算法,即加权快速中值滤波算法和加权自适应中值滤波算法,MATLAB实验证实两种方法均能更好地保存原始图像的细节和边缘。比较两种新方法得出以下结论：加权改进中值滤波算法对低密度的脉冲噪声去噪效果明显,对于高密度脉冲噪声去噪效果不理想,但能大大提高中值滤波的运行速度,对数字图像实时处理意义很大;加权自适应中值滤波算法能够有效地消除被污染图像中的高密度脉冲噪声,较标准中值滤波具有更优良的滤波性能,较加权快速中值滤波算法在去噪方面有更好的鲁棒性。     

带有DSP芯片的新型实时数字图像处理系统

本文概述了ＤＳＰ芯片的特点与发展现状，对ＤＳＰ芯片及其应用作了一些有益的探讨，并系统地分析了两个带有ＤＳＰ芯片的应用系统的构成及性能     

基于DSP的数字图像处理系统的设计和调试

提出了一种数字图像处理系统的设计方案,并阐述了基于TMS320C5402的数字图像处理系统的硬件设计和实现。以SST39VF400A型号为例,对FLASH的烧写及程序加载的方法进行了介绍。     

基于DSP的实时图像处理系统的设计

在实时图像处理系统中,如何在有限的时间内完成大量信息数据的处理,满足系统的实时性要求一直是困扰着人们的一个难题。遵从系统模块化设计思想,提出了以TI公司的DSP(TMS320C6201)为核心器件的图像处理系统的设计方案,完成了相应的硬件电路设计,将图像实时处理要求较高的图像跟踪算法移植于所设计的图像处理系统中。试验结果表明,该实时图像处理系统功能和性能基本达到了预期要求,有一定的实用性。     

Some aspects of image processing using foams

We have explored some concepts of chaotic dynamics and wave light transport in foams. Using some experiments, we have obtained the main features of light intensity distribution through foams. We are proposing a model for this phenomenon, based on the combination of two processes: a diffusive process and another one derived from chaotic dynamics. We have presented a short outline of the chaotic dynamics involving light scattering in foams. We also have studied the existence of caustics from scattering of light from foams, with typical patterns observed in the light diffraction in transparent films. The nonlinear geometry of the foam structure was explored in order to create optical elements, such as hyperbolic prisms and filters.     

Numerical optimization and multi-particle dynamics simulation of the radial matching section of the RFQ

The ABC code is an optimization program for the development of matching channels and dynamical matchers in radio frequency quadrupole (RFQ) structures, and a new approach to this code to define the geometry of the radial matching section of the RFQ has been developed. This approach is based on the application of the numerical optimization step by step. This optimization is intended to search for the initial matching condition of a beam, the optimization of parameters of a cell of the channel on given characteristic parameters and traces of a beam in linear channels in both forward and backward directions. To further verify the results of the optimization, multi-particle beam dynamics simulations have been carried out using the BEAMPATH and TRACK codes. The result of the beam dynamics simulation shows that the optimization result of the ABC code is reasonable and this approach provides an opportunity to redesign the structure of the radial matching section of the RFQ.     

工业CT图像处理系统的优化

 为了提高工业CT图像处理系统的处理效率,对其边缘连接和直线拟合方法进行了优化研究。对于边缘连接,根据边缘间隙大小决定连接方式：对小间隙直接用直线填充;对较大的间隙,采用基于模糊判决的边缘连接法计算边缘间总隶属度最大的一条路径,并将其填充。对于直线拟合,先用二元素特征点法提取轮廓特征点,再采用改进的集合求交直线识别方法将特征点间的线段拟合。通过实例验证了优化方法的正确性。     

Infrared and visible image fusion based on visual saliency map and weighted least square optimization

The goal of infrared (IR) and visible image fusion is to produce a more informative image for human observation or some other computer vision tasks. In this paper, we propose a novel multi-scale fusion method based on visual saliency map (VSM) and weighted least square (WLS) optimization, aiming to overcome some common deficiencies of conventional methods. Firstly, we introduce a multi-scale decomposition (MSD) using the rolling guidance filter (RGF) and Gaussian filter to decompose input images into base and detail layers. Compared with conventional MSDs, this MSD can achieve the unique property of preserving the information of specific scales and reducing halos near edges. Secondly, we argue that the base layers obtained by most MSDs would contain a certain amount of residual low-frequency information, which is important for controlling the contrast and overall visual appearance of the fused image, and the conventional “averaging” fusion scheme is unable to achieve desired effects. To address this problem, an improved VSM-based technique is proposed to fuse the base layers. Lastly, a novel WLS optimization scheme is proposed to fuse the detail layers. This optimization aims to transfer more visual details and less irrelevant IR details or noise into the fused image. As a result, the fused image details would appear more naturally and be suitable for human visual perception. Experimental results demonstrate that our method can achieve a superior performance compared with other fusion methods in both subjective and objective assessments.     

工业CT图像处理系统的优化

为了提高工业CT图像处理系统的处理效率,对其边缘连接和直线拟合方法进行了优化研究。对于边缘连接,根据边缘间隙大小决定连接方式：对小间隙直接用直线填充;对较大的间隙,采用基于模糊判决的边缘连接法计算边缘间总隶属度最大的一条路径,并将其填充。对于直线拟合,先用二元素特征点法提取轮廓特征点,再采用改进的集合求交直线识别方法将特征点间的线段拟合。通过实例验证了优化方法的正确性。     

基于约束优化的闪光照相图像重建算法

针对闪光照相图像受模糊及噪声影响的问题,提出了一种基于约束优化的闪光照相图像重建算法。该算法建立基于平行束投影的正向成像矩阵,并通过嵌入模糊矩阵表达成像过程中的模糊因素,采用最速下降法求解重建问题。在算法中设计了预优矩阵以提高迭代重建速度,利用客体密度值非负、密度分布分段光滑并含有阶跃性边界的先验知识,设计和采用了非负约束、光滑约束及广义变分边界约束条件。对仿真FTO客体图像及实际闪光照相图像的重建结果表明,基于约束优化的重建算法具有良好的边界保持能力及噪声抑制能力,可以有效提高图像重建质量。     

Slow-Time Code Design for Space-Time Adaptive Processing in Airborne Radar

Space-time adaptive processing (STAP) techniques have been motivated as a key enabling technology for advanced airborne radar applications. In this paper, a slow-time code design is considered for the STAP technique in airborne radar, and the principle for improving signal-to-clutter and noise ratio (SCNR) based on slow-time coding is given. We present two algorithms for the optimization of transmitted codes under the energy constraint on a predefined area of spatial-frequency and Doppler-frequency plane. The proposed algorithms are constructed based on convex optimization (CVX) and alternating direction (AD), respectively. Several criteria regarding parameter selection are also given for the optimization process. Numerical examples show the feasibility and effectiveness of the proposed methods.