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DE2_70_D5M_LTM_NIOS_capture.zi
- 本文提供一個CMOS Controller，讓Nios II可以藉由CMOS Controller控制CMOS，並能讀出CMOS放在SDRAM中的影像。运行在DE2-70平台上,This article provides a CMOS Controller, so that Nios II can take advantage of CMOS Controller control CMOS, and allowed to deliver on the SDRAM in the CMOS imag
Fingerprint_Identify
- 本项目名称是：基于FPGA的指纹识别模块设计。 主要内容为：本模块采用xilinx公司的Spartan 3E系列XC3S500E 型FPGA作为核心控制芯片，通过富士通公司的MFS300滑动式电容指纹传感器对指纹图象进行提取，然后对提取的指纹图像进行灰度滤波、图像增强、二值化、二值去噪、细化等预处理，得到清晰的指纹图象，再从清晰的指纹图象中提取指纹特征点，存入外部FLASH作为建档模板。指纹比对时，采用同样的方法获得清晰的指纹图像，建立比对模板，然后将比对模板与建档模板利用点模式匹配
20090903FPGA
- 本文论述并设计实现了一个脱机自由手写体数字识别系统。文中首先对待识别数字的预处理进行了介绍，包括二值化、平滑滤波、规范化、细化等图像处理方法；其次，探讨了如何提取数字字符的结构特征和笔划特征，并详细地描述了知识库的构造方法；最后采用了以知识库为基础的模板匹配识别方法,并以MATLAB作为编程工具实现了具有友好的图形用户界面的自由手写体数字识别系统。实验结果表明，本方法具有较高的识别率，并具有较好的抗噪性能。-In this paper, designed and implemented an o
DM643Imagematch
- 基于DM643平台的图像采集和帧差图像匹配。-Based on the matching of the the DM643 platform image acquisition and frame difference image.
shixibaogao
- 该实验报告对指纹识别系统整体的构建进行了说明，其中还包括遇到的问题以及解决过程的分析。对指纹识别系统的总体设计和各部分设计进行了相应说明，首先将整个系统分为三个部分：指纹预处理，特征值提取和指纹特征匹配；其中指纹预处理部分又可分为：指纹图像的分割、均衡、增强、二值化、细化等部分。每部分选择最优化的算法，首先用C语言进行软件实现，然后与硬件相结合，以DSP TMS320VC5416为平台，在DSP集成开发环境CCS上进行算法调试。 -The test reports on fingerprin
Cordic
- block-matching 3D filtering (BM3D) [2], and low-rank regularization [3], single-image based denoising performance has greatly improved, with image details well recovered when the image is slightly noisy. However, with the increase of noise le
verilog
- 《数字信号处理的FPGA实现（第三版）》作者：U.Meyer-Baese 的配套源码，基于quartus9.0编写，使用的cyclone ii。其中包含FIR IIR FFT等算法的实现，对学习图像处理很有帮助。- FPGA digital signal processing (third edition) Author: U.Meyer-Baese The matching source, based on quartus9.0 preparation, the use of cyc
vhdl
- 《数字信号处理的FPGA实现（第三版）》作者：U.Meyer-Baese 的配套源码，基于quartus9.0用VHDL编写，使用的cyclone ii。其中包含FIR IIR FFT等算法的实现，对学习图像处理很有帮助。- FPGA digital signal processing (third edition) Author: U.Meyer-Baese The matching source, based on quartus9.0 prepared using VHDL, t
ts344
- Add noise processing, Matching Pursuit and orthogonal matching pursuit, Achieve a grayscale image and further control for video surveillance.
7105_0xFDF
- 浙江大学机器人竞赛文档：提供完整的上位机图像识别挑选物品的匹配算法、下位机反馈控制机器人完成行走路线以及串口通讯的Python／C++／Arduino C代码(Robot contest documentation of Zhejiang University.It provides complete image recognition of the host computer, the matching algorithm of the selected items, the feedback
hheev
- Consider shadow rain attenuation and multipath effects Particle image segmentation and matching subroutines themselves are prepared, Modulated signals to calculate its density Pu-related.
gh856
- Including single sideband, double sideband, suppressed carrier and quadruple, There is a well attenuation curve as input to calculate its seismic waves, Particle image segmentation and matching subroutines themselves are prepared.
hq761
- Various resource allocation algorithm, Particle image segmentation and matching subroutines themselves are prepared, Using matlab written narrowband noise occurs.
dm018
- Interpolation and fitting, solution of equations, data analysis, Prediction Error Method for Parameter Identification - the idea of relaxation, Particle image segmentation and matching subroutines themselves are prepared.
mvmdj
- Including principal component analysis, factor analysis, Bayesian analysis, Particle image segmentation and matching subroutines themselves are prepared, Computation Method D phononic bandgap plane wave.
aruse
- IDW inverse distance weighting method, Chaos-based simulated annealing algorithm, Particle image segmentation and matching subroutines themselves are prepared.
vsmkq
- Particle image segmentation and matching subroutines themselves are prepared, Is the topic of the elementary school stage curriculum design, High-resolution array signal processing estimates.
4162
- Pisarenko harmonic decomposition algorithm, Time series data analysis Mellin transform tool, Particle image segmentation and matching subroutines themselves are prepared.
wq231
- Particle image segmentation and matching subroutines themselves are prepared, A fluid manifold learning algorithm (good use), Code, there are very complete notes and explanation.
kungiemie
- Particle image segmentation and matching subroutines themselves are prepared, Using matlab written narrowband noise occurs, Including scr ipt files and function files in the form.