资源列表
边缘检测
- 边缘检测算法的源代码，本人已经测试过，效果很好。(Edge detection algorithm source code, I have tested, the effect is very good.)
shiyan
- 利用0度和90度刺激下的内源性脑光学成像数据，获得大脑视觉皮层的方位功能柱，涉及的方法包括图像相减，叠加平均等； 对方位功能柱图像进行滤波处理，采用不同滤波方式（空域滤波和频域滤波）比较不同滤波下图像功能柱信号(Using the brain optical imaging data stimulated by 0 and 90 degrees, the functional column of the visual cortex of the brain is obtained. The
BM3D_images
- bm3d算法测试图片，可用于测试去噪算的效果。(BM3D algorithm test pictures, can be used to test the effect of denoising.)
BM4D_v3p2
- bm4d图像去噪算法，可有效地去除图片中的噪点。(Bm4d image denoising algorithm, can effectively remove the noise in the picture.)
KGARD_image_denoising
- kgard图像去噪算法的matlab实现模块，效果很好。(Kgard image denoising algorithm matlab implementation module, the effect is very good.)
未命名文件夹
- matlab convex hull 详细算法(Detailed algorithm for matlab convex hull)
matlab程序
- 用均值滤波、中值滤波、维纳滤波法给加高斯噪声的图像去噪(Using the mean filter, median filter, Wiener filter to add the Gaussian noise image denoising)
matlab程序
- 维纳滤波法去除加有高斯噪声、椒盐噪声、乘性噪声(Wiener filter method to remove the addition of Gaussian noise, salt and pepper noise, multiplicative noise)
matlab程序
- 加高斯噪声后进行不同窗格的维纳滤波和均值滤波(Plus Gaussian noise after a different pane of Wiener filtering and mean filtering)
matlab程序
- 加入乘性噪声和椒盐噪声的图像进行维纳滤波和均值滤波，采用不同窗口看效果(Add the image of multiplicative noise and salt and pepper noise for Wiener filtering and mean filtering, using different windows to see the effect)
kernelbase
- 该代码实现分类器的分类，测试效果很好，值得一看(Classifier classification)
svms分类器的源代码
- 支持向量机的分类，源代码，修改内容也可以实现想要的分类效果(Support vector machine classification, source code, modify the content can also achieve the desired classification effect)