资源列表
duomubiaozuoyouhua
- 多目标遗传算法，很好的源代码，实现多输入多输入参数条件下的最优化-Multi-objective genetic algorithm, a very good source code, achieve multiple-input multiple-input parameters optimized under the conditions of
imige_match
- 实现图像配准:线性保角变换，投影变换及仿射变换。-Achieve image registration: linear conformal transformation, projection transformation and affine transformation.
camshiftdemo
- Gary R．Bradski提出CamShift算法，即"Continuously Adaptive Mean-Shift"算法。是以颜色直方图为目标模式的目标跟踪算法，可以有效地解决目标变形和部分遮挡的问题，而且运算效率很高。在视频跟踪过程中，CAMSHIFT算法利用选定目标的颜色直方图模型得到每帧图像的颜色投影图，并根据上一帧跟踪的结果自适应调整搜索窗口的位置和大小，得到当前帧中目标的尺寸和质心位置。-Gary R. Bradski CamShift proposed algorithm,
splitmerge_matlab_program
- 关于图像分割、区域分离和合并的matlab程序-On image segmentation, region separation and merger procedures matlab
foreman
- 标准测试序列foreman序列的avi格式，方便处理，共同学习！-Standard test sequences foreman sequence avi format, and facilitate the process, learn together!
signatureSal
- 基于图像签名的显著性区域检测，算法很巧妙，好用-computation of a saliency map based on the Image Signature, as described in the following paper: "Image Signature: Highlighting sparse salient regions", Xiaodi Hou, Jonathan Harel, and Christof Koch,
delphi实现的几何变换
- 实现在图像任意角度的旋转，平移。以及图像的镜像，扭曲。波浪效果，缩小放大裁剪，以及对图像的裁剪。-achieve arbitrary angle images in the rotation and movement. Mirror Image and distorted. The wave effect, narrow Large cutting, and cutting the right image.
lvbobijiao
- 分别利用均值滤波、自适应滤波和中值滤波对噪声图像g1和g2进行滤波，利用峰值信噪比对去噪性能进行比较。-Respectively, using the mean filter, adaptive filtering and median filtering images g1 and g2 noise filtering, denoising performance comparison using the peak signal-to-noise ratio.
LMSFilterMatlab
- 此程序可实现基于LMS（最小均方误差算法）的自适应滤波程序-this procedure can be based on the LMS (least-mean-square error algorithm) adaptive filtering process
fdfdf
- 用C++语言实现的SOBEL算法，简单易用。-using the C language SOBEL algorithm, easy to use.
DL
- 张磊的基于最小方向误差的去马赛克源代码，目前应该是经常用来被比较的一片文章-Lei error based on the minimum direction to Mosaic source code, it is often used to compare the article
Image-segmentation-Extraction
- 图像分割加特征提取的算法，一起分享，共同研究，共同进步-Add feature extraction image segmentation algorithms, along with sharing, joint research, and common progress