资源列表
Bp.docx
- 基于BP神经网络的人脸识别算法，有详细的关于BP网络的设计步骤以及人脸识别过程-Face recognition algorithm based on BP neural network, a detailed design steps of BP network and facial recognition process
STC12-ST7567-LCD12832
- JLX12832G驱动程序，单片机用STC12C5A60S2，液晶控制器ST7567，液晶点阵12832，带中文字库-jlx12832 LCD C51 driver, with stc12c5a60s2 microcontroller, lcd controller is st7567, with chinese fonts build in.
1.1
- C语言实现直方图均衡化，图像为BITMAP格式。-C language histogram equalization
1.2
- 用C语言实现十字中值滤波，十字的尺寸为3以上的奇数比如3*3,5*5-C language cross median filter, cross size of 3 or more odd number such as 3* 3,5* 5
pcaPica
- ICA和PCA两种方法，实现了基于ORL人脸库的方法。识别率较高，适合初学者学习。-ICA and PCA are two ways to achieve based on ORL face approach. High recognition rate, suitable for beginners to learn.
PCA
- PCA人脸识别的特征提取以及识别,data为稀疏矩阵,依据ReducedDim来确定PCA子空间维数-PCA face recognition
chepaishibie
- 车牌识别系统的实现，对于毕业设计有非常大的帮助。-License plate recognition system, for graduation have a very big help.
OpenGL_Animat
- 使用OpenGL开发的机械手程序，展现了如何利用显存的堆栈处理实现机械运动的多层级关系。程序使用VC++6.0开发-Use OpenGL development of robot program, to show how to use the memory stack processing of mechanical movement to achieve multi-level relationships. Program uses VC++ 6.0 development
functions
- 高光谱图像超分辨方法的实现。将原始图像降采样成低分图像（和普通图像），然后在降采样后的数据上进行超分辨。-Hyperspectral image super-resolution implementation of the method. Downsampling the original image into a low image (and the general image), then the super-resolution data on the drop after samplin
image-processing-algorithms
- 图像处理的几种常见算法，包括维纳滤波、盲卷积等算法，并在matlab平台上验证仿真。-Several common image processing algorithms, including algorithms Wiener filtering, convolution and so blind, and verify the simulation on matlab platform.
txmssb
- 手写数字的分类聚类的不同算法识别，应用的算法有人工神经网络，模糊识别等-number recognize
image-mosaic
- realize the seamless splicing of two images