搜索资源列表
pca
- pca人脸识别This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the fil
createDistMat
- PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the fi
APyramid
- 基于VC++的图像匹配的金字塔算法。输入原始的512*512灰度图像，同时输入模板图像，分别输出图像和模板图像的三层金字塔图像，用来分层匹配；对输入图像利用小波变换分层，并形成三层金字塔，然后对模板图像做同样的处理，然后从顶至下以此对原始图像和模板图像进行匹配，匹配采用简单的对应像素的绝对误差累计来表示。提供测试模式集及其测试结果。-Based on VC++ pyramid algorithm for image matching. Enter the original 512* 512 gr
demo2
- VC++基于神经网络的数字图片识别技术，并可对图片进行灰度处理、二值化、递推锐化、去离噪声、字符分隔等处理功能-VC++ based on neural networks in digital image recognition technology, and the picture grayscale processing, binary, recursive sharpening, go away from the noise, character separation, processin
Lplace
- 装载图像 使用高斯平滑消除噪声， 将图像转换到灰度空间。 使用Laplacian算子作用于灰度图像，并保存输出图像。 输出结果。-Loading image Use Gaussian smoothing to eliminate noise, the image is converted to grayscale space. Laplacian operator acting on grayscale images, and save the output image.
pouyie_v14
- 实现了图像的灰度化并进一步用于视频监视控，BP神经网络用于函数拟合与模式识别，用于建立主成分分析模型。- Achieve a grayscale image and further control for video surveillance, BP neural network function fitting and pattern recognition, Principal component analysis model for establishing.
qie_v56
- 实现了图像的灰度化并进一步用于视频监视控，最大似然（ML）准则和最大后验概率（MAP）准则，用平面波展开法计算二维声子晶体带隙。- Achieve a grayscale image and further control for video surveillance, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Computation Method D phononic bandgap p
df086
- 实现了图像的灰度化并进一步用于视频监视控，用MATLAB实现的压缩传感，非常适合计算机视觉方面的研究使用。- Achieve a grayscale image and further control for video surveillance, Using MATLAB compressed sensing, Very suitable for the study using computer vision.
3854
- 快速扩展随机生成树算法，多目标跟踪的粒子滤波器，实现了图像的灰度化并进一步用于视频监视控。- Rapid expansion of random spanning tree algorithm, Multi-target tracking particle filter, Achieve a grayscale image and further control for video surveillance.
bp和maltab的车牌识别
- 实现了灰度处理，锐化，边缘检测，神经网络(Grayscale processing, sharpening, edge detection, neural network)