资源列表
WaterShed
- 用于统计珍珠的数量。通过分水岭分割出重叠的，有阴影的珍珠，在用Hough变换统计出珍珠的数量，准确率较高。-The number used for statistical pearls. Through the watershed segmentation of overlapping, shaded pearls, pearls with Hough transform statistics the number of high accuracy.
tuxiangchuli
- 用于图像处理的matlab代码。图像频域增强，频域高通滤波增强示例等-Matlab code for image processing. Frequency domain image enhancement, enhanced frequency-domain samples, and high-pass filter
MatrixCalculator
- 矩阵库计算的实例，对于VC++图像处理及MFC有帮助-Examples of calculation of matrix library, it is helpfull for VC++ image processing and MFC
Untitled
- 交互式阈值分割算法图像处理，选取读入一份彩色图像，在运行Untitled.m程序时先用鼠标交互的选取一个颜色区域作为你要与其他色彩分割的目标，进行分割，鼠标选取好后，按ENTER健后出现分割节后。-Interactive image processing threshold segmentation algorithm to select a color image read at run Untitled.m program interacts with the mouse select a
quyushengzhang
- 区域生长法实现图像分割，获得区域生长起始点，将生长起始点灰度值存入seed中，图像边界上的点的判断，计算新的灰度平均值-Region growing method to achieve image segmentation, region growing starting point to obtain the growth of the gray values are stored in seed starting point, the image point on
weicais
- matlab实现图像伪彩色编码，包括常规灰度编码 , 逆灰度编码 , 红色饱和度编码 , 绿色饱和度编码 , 蓝色饱和度编码 , 青色饱和度编码 , 黄色饱和度编码 , 紫色饱和度编码 , 彩虹编码1 , 彩虹编码2 , 热金属编码1 , 热金属编码2 -pseudo-color image coding matlab realize, including conventional gray code ' ,' inverse gray coding ' ,' red
shuipingji
- matlab 实现图像水平集分割，自动进行分割 演示。-matlab implementation level set image segmentation, automatic segmentation demonstration.
wp201306011
- CT中经典的连续反投影算法程序，针对以一个点进行重建，可以加深对于反投影的理解-CT in the classic continuous back-projection algorithm for reconstruction to a point, you can deepen the understanding of the back-projection
ant
- 蚁群算法在图像分割中的实现。最佳路径度量值（初值为无穷大，该值越小聚类效果越好）。路径标识字符：标识每只蚂蚁的路径。蚁群聚类结果(R=100,t=10000)。-Ant colony algorithm in image segmentation is achieved. Best path metric value (initial value is infinite, the smaller the value the better the clustering effect). Path
tuxiangpinjie333
- 适合新手使用的关于图像处理方面的论文，可下载参考使用-Suitable for novice to use on an image processing papers, downloadable reference
tuxiangchuli209
- 适合新手的图像处理论文，基于角点的图像拼接技术。-Suitable for novice image processing papers, based on the corner of the image stitching technology.
A-Combined-Corner-and-Edge-Detector
- 图像拼接技术论文，基于图像特征匹配，很实用，很好。harris角点技术论文原文。-Image Stitching technology papers, based on image feature matching, very practical, very good.