资源列表
picture_textures
- 实现bmp图片纹理在3D立方体上的贴图，通过拖动窗口边框缩放窗口可实现立方体的旋转。-Bmp image to achieve the texture in the 3D cube on the map, zoom window by dragging the window frame to achieve the rotation of the cube.
Dct
- 主要研究了彩色图像数字水印算法，在DCT域进行了水印的自适应嵌入和提取，并用Matlab进行了仿真实验，测试算法的性能-The main color image watermarking algorithm in the DCT domain adaptive watermark embedding and extraction, and with the Matlab simulation experiment to test the performance of algorithm
pp
- 此程序是自适应波束图中的主波束的天线方向图 函数调用了sinc函数-This procedure is adaptive beamforming map of the main beam of the antenna pattern function call the sinc function
color-segmentation--based-on-Lab
- 基于L*a*b空间的色彩分割是根据图像中色彩空间不同的颜色来确定不同色彩所在的区域从而对图像进行划分。 这种基于色彩的图像分割方法简单而且易于理解，并且在实际应用中颜色通常具有很明显的区域特征，因此这种方法在实际应用中也有很广泛的用途-Based on L* a* b color space segmentation is based on the image color space to determine the different colors in different colors
ColorSpaceConvert
- 用VC++编写的色彩空间转换函数，包括RGB2IHS；RGB2HSV；RGB2LAB；一次下载，全部拥有。-using the VC++ tool to realize the color space convertion, contains the: RGB2IHS；RGB2HSV；RGB2LAB.
fuse
- 图像超分辨率重建算法，实现图像的超分辨率重建。-super-resolution
GaitRsystem
- 实现人体步态检测和基于步态的人体身份识别算法，主要内容包括背景的提取，人体运动区域检测，人体轮廓提取，步态特征的提取，相似性度量和分类识别-Detection of the realization of human gait and gait-based human identification algorithms, including the background of the main contents of the extraction, detection of human motio
denoise
- 一个基于压缩感知（压缩传感）的噪声降低的外文资料，把压缩感知运用到去噪上，是近期研究的热点-A perception-based compression (compressed sensing) and noise reduction in foreign language information, the compressed sensing applied to the de-noising on the recent study of the hot
RS
- 信息隐藏里LSB隐写方案的RS分析方法，附有详细注解。-Information hiding in LSB Steganography Scheme RS analysis, with detailed notes.
VariableWeightMRMRF
- 基于变权重MRF的图像分割算法，特征场是使用混合高斯模型，标记场使用Pott模型，基于迭代条件模式进行分割-MRF based on weighted image segmentation algorithm, feature field is the use of Gaussian mixture model, using the tag field Pott model segmentation based on iterative model conditions
ISODATA
- 本源程序为ISODATA聚类算法 可以达到很好的聚类效果-The source code for the ISODATA clustering algorithm can achieve very good clustering results
spectral-clustering
- 外国人编写的实现谱聚类算法，执行速度较快，效果不错~-Foreigners prepared to achieve spectral clustering, perform faster, the effect is good ~