资源列表
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
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.
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
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
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
main
- 神经网络算法在图像阈值分割中的实现，包括遗传神经网络训练示例，神经网络分割示例，传统BP训练遗传BP训练等-Neural network algorithm for image thresholding in implementation, including genetic neural network training example, neural network segmentation example, the traditional genetic BP BP training tr
main
- 此程序基于matlab进行开发，为数字图像处理的灰度图像分割算法程序-This program is based on the matlab development of digital image processing algorithm image segmentation
Document
- 本文件为作者设计的比较简单的图像分析尤其是降噪代码-noise treatment source code of image
HSI
- 完成彩色图像的HSI转换，图像放大缩小旋转等功能。-image hsi zoom rotate
plotPCA
- 二维PCA程序,非常实用的，只要将程序地址栏改下，黏到matlab里面运行，即可得到pca图-Dimensional PCA program, very useful, as long as the address bar will change under the program, stick to the inside matlab running, you can get pca Figure
pinyu
- 在频域的基础上，对细小的环节进行滤波的效果对比-In the frequency domain, based on the small part of the effect of contrast filtering
1122
- crimini算法对图形进行修复，您能够充分的利用空间信息，纹理信息-crimini graph algorithm to repair, you can take full advantage of the spatial information, texture information