资源列表
PlateRecognise
- 基于 VC6.0 的汽车牌照定位与识别, 基本图像处理 与 神经网络算法.-Based on VC6.0 vehicle license positioning and identification, basic image processing and neural network algorithms.
image-resize
- 图像的放大缩小，使用双线性插值跟最近邻插值，功能简单，适合初学者。（包含算法，并不是调用matlab插值内核）-Image zoom, bilinear interpolation with nearest neighbor interpolation, features a simple, suitable for beginners. (Including the algorithm, not calling matlab interpolation kernel)
gradient
- 该源码可以用来方便的计算输入图像的梯度，并将图片显示出来，程序简单易懂且已实现。-Can be used for convenient calculation of the input image gradient, and can display the image application simple to implement
chap10
- 对一些已知的图片处理 对一些已知的图片处理-Some of the known image processing for some of the known image processing for some of the known image processing
Image-compression-and-reconstruction
- 基于主成分分析的图像压缩和重建，压缩包中包括源代码和用到的图片，可以直接拿来运行。-Based on principal component analysis and reconstruction of image compression, compression package including source code and use the picture, can be directly used to run.
PCA_based-Face-Recognition-System
- 基于主成分分析的人脸识别，压缩包中包括完整的源程序以及所用的图像库。-Face recognition based on principal component analysis, compression package includes full source code and image library used.
de-noising_filter_edge_detection
- 通过matlab实现图像去噪、滤波、锐化、边缘检测功能，源码呈现，已测试百分百运行成功，内有详细注释，方便学习- Implemented by matlab image de-noising, filtering, sharpening, edge detection, the source presentation, have been tested to run a hundred percent success, with detailed notes, easy to learn
p1
- 对24位位图的处理，实现512*512大小的分辨率、灰度、量化电平数的改变-On 24 bitmap processing, size 512* 512 resolution, grayscale, change the number of quantization levels
OpenTKTutorials
- terrain generation with opengl
daojiao_suanfa
- 采用基于距离图的分水岭算法寻找细胞粘连点。-The watershed algorithm based on distance map for cell adhesion.
fenshuiling
- 采用改进的距离图作为分水岭变换的输入图像，有效地避免了分水岭的过分割现象。-With the improved distance map as a watershed transform of the input image, effectively avoid the phenomenon of the watershed segmentation.
GetFace
- 从一张图片中识别出人脸和人眼，并得到人脸和人眼的位置-Get faces and eyes from a picture ,and get the position of faces and eyes.