资源列表
TV---image-de-noisin-Using-vcPP
- 主要将TV变分算法用来处理去噪图像，去噪效果明显，大家可以仿真-TV variational method primarily used to process image de-noising, de-noising effect is obvious, we can try simulation
sheji
- University of procedures required for graduation thesis program, matlab image smoothing, neighborhood average
SAD-Method-for-image-matching
- matlab基于SAD的区域立体匹配方法,matlab基于SAD法对左右两幅图片进行匹配，并生成深度图像.m文件。- matlab SAD stereo matching method based on region, matlab SAD method based around two images match, and generates the depth image. m files.
dpcm
- 一维DPCM重建图像 二维DPCM重建图像 一维DPCM误码图像 二维DPCM误码图像（当有传输误码的时候对图片产生的影响） 以及各输出图像相对原图像的psnr-DPCM one-dimensional image reconstruction of two-dimensional image reconstruction DPCM One-dimensional two-dimensional image DPCM DPCM error error image (when tra
SUSAN
- 一个比较好的边缘检测和角点检测代码，采用的是SUSAN算子，它采用含有37个像素的近似圆形的模版得到各向同性的响应-A better edge detection and corner detection code, using SUSAN operator, which uses roughly circular template contains 37 pixels get isotropic response
bmp3
- 串行BMP图片灰度处理 在C++环境下实现-Serial grayscale BMP image processing in the C++ environment to achieve
car
- 利用matlab平台对汽车的车牌号进行提取，并分离出车牌号码-Using matlab license plate number of the car platform to extract and separate the license plate number
filter
- 利用matlab进行均值滤波、中值滤波、算子滤波和高斯滤波-Use matlab mean filter, median filter, filtering and Gaussian filter operator
1
- 图像的非局部均值去噪算法，包括了相关的论文及源代码，效果很好。-The non-local means image denoising algorithms, including the related papers and source code, very good.
zhifangtu
- VC编程实现图像的直方图均衡(24位图转为8位灰度图图像平滑化处理；邻域平均法实现图像增强；直方图均衡化处理）-VC Programming histogram equalization image (Figure 24 into eight grayscale image smoothing process neighborhood averaging method to achieve image enhancement histogram equalization)
kalmanPcamshift(meanshift)
- Kalman+CamShift实现视频追踪-Kalman+CamShift video track
shuzishibei
- 设计一个Hopfield网络，使其具有联想记忆功能，能正确识别阿拉伯数字。当数字被噪声污染后人可以正确的识别-Design a Hopfield network, it has associative memory function, can correctly identify the Arabic numerals. When the numbers were descendants of noise pollution can correctly identify