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edge_filter_linear
- 1、均值平滑、中值平滑和低通滤波平滑 2、高斯拉普拉斯算子对图像边缘的增强， 3、彩色图像的锐化，-1, the mean smoothing, median smoothing and smoothing low pass filter 2, Laplacian of Gaussian edge enhancement, 3, color image sharpening,
imgkmeans
- 将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用-The K means algorithm for image segmentation, the input is a color imag
zhos
- 用Matlab实现中值滤波与Otsu算法 包括彩色图转256灰度，灰度图中值滤波处理，再用Otsu算法处理。-Median filter implementation using Matlab and Otsu algorithms including 256-color map turn gray, grayscale median filter, and then Otsu algorithm processing.
wenjian
- 分析比对了均值滤波和中值滤波两种方法，对彩色图像滤波处理的优劣-Analysis compared the mean filter and median filter are two methods, the merits of color image filtering
lvbo
- 基于传统的灰度中值滤波，对彩色图片进行中值滤波，达到消除噪声的目的。-Based on the traditional gray median filter, a color image to the median filter, to eliminate noise.
去雾
- 图像去雾代码：暗通道先验，中值滤波，导向滤波(Image defog Code: dark channel prior, median filtering, guided filtering)