资源列表
ren-lian-detect
- 基于opencv的人脸检测程序，对初学图像处理和opencv的朋友有一定帮助。-Based on opencv face detection procedures, for beginners and opencv image processing friend has certain help.
skin-detect-base-color
- 基于opencv实现的肤色检测，用YCrCb模型检测出皮肤部分并显示出来。-Skin color detection based on opencv realized with YCrCb model to detect the skin parts and displayed.
wavelet-change
- 基于opencv实现了多层小波变换，并可以进行逆变换。对初学OPENcv的朋友有一定的借鉴价值。-Based on opencv realized the multi-layer wavelet transform and inverse transformation. For beginners OPENcv friend has certain reference value.
FaceDetection
- 图形图像处理相关功能的实现集合，如增强，分割，特征提取，形态学运算。很有借鉴意义。-The realization of the function of graphic image processing related collection, such as enhancement, segmentation, feature extraction, morphological operation. Has a reference significance.
KMeans
- kmeans聚类，可以使得kmenas聚类效果非常直观的呈现给读者，让读者一幕了然-it is kmens problems
regionGrow_xj
- 经典的区域生长法，选取好合适的种子点可以很好的完成图像的分割。-Classic region growing, a good fit seeds can be very good to complete the image segmentation.
DTCWT
- 双树复小波的分解工具箱。包含一维双树复小波和二维双树复小波的分解和重构。能够有方向性的分解图像或信号。-Doubletree complex wavelet decomposition toolbox. Contains one-dimensional and two-dimensional tree complex wavelet tree complex wavelet decomposition and reconstruction. Directional image can be de
BM3D_toolbox
- Dabov K, Foi A, Katkovnik V提出的BM3D算法的工具箱，是目前实现图像去噪效果最好的方法之一-Dabov K, Foi A, BM3D algorithm toolbox Katkovnik V presented, is currently one of the best methods of image denoising
ronghe
- 在论坛找了一圈没有找到将3张同样分辨率的灰度图合成为一张RGB彩色图的源码，自己在matlab里面写了一个放上来。-In the forum to find a circle did not find the same resolution grayscale three combined into a source RGB color map of its own in which to write a matlab impress.
SAR_Wishart
- 本程序实现了SAR图像Wishart聚类功能-This program implements the SAR image Wishart Clustering
guangliufagenzongmubiao
- 光流法跟踪运动目标，opencv实现,欢迎有需要的朋友下载-Optical flow tracking moving targets, opencv to achieve，welcome to download
Kmeans
- Kmeans聚类算法，MATLAB语言，用于图像分割，可以将相似像素聚类，然后进行分割-Kmeans clustering algorithms, MATLAB language for image segmentation, can be similar pixel clusters, and then divided