kdfilter

MNIST数据集中图像数据文件， 60000个训练集(The MNIST dataset image data files, 60000 training set)

说明：  基于C#的模糊雾化处理。 高斯雾化 C #-based processing of fuzzy atomization. Gaussian Atomization(C#-based processing of fuzzy atomization. Gaussian atomization C#-based processing of fuzzy atomization. Gaussian Atomization)

自己写的双阈值分割算法，可以用在多个场合(Write their own dual-threshold segmentation algorithm can be used in a number of occasions)

基于svd的数字水印，信噪比比较高(Svd based digital watermarking, can also signal to noise ratio is relatively high)

说明：  二值化程序：实现自适应二值化。效果较好，二值化后图片较清晰(Binarization process: the realization of adaptive binarization. Better, after binarization clearer picture)

灰度或彩色多模态医学图像的融合，利用加权平均融合算法，程序具体很好的通用性，并且提供几种图像融合客观评价指标，还给出3组宝贵的已配准医学图像(Color gray or fusion multimodal medical images, using a weighted average fusion algorithm, program specific good versatility and provide an objective uation of several image fusion, the three groups are also given valuable medical image registration has been)

SURF 图像特征点快速提取法还有描述，可用于迅速匹配两张图片中的特征点(SURF image feature points extraction method also described fast, can be used to quickly match the image feature points in the two)

实现简单图像处理，包括256色转灰度图、Hough变换、Walsh变换、中值滤波、二值化变换、亮度增减、傅立叶变换、反色、取对数、取指数、图像平移、图像旋转、图像细化、图像缩放、图像镜像、均值滤波、对比度拉伸、拉普拉斯锐化（边缘检测）、方块编码、梯度锐化、灰度均衡、直方图均衡、离散余弦变换、维纳滤波处理、逆滤波处理、阈值变换、高斯平滑。(simple image processing, including color to grayscale 256, the Hough transform, Walsh transform, Median filtering, binary conversion, brightness changes, Fourier transform, and color-from the few to admit index, image shifting, image rotation, refined images, image scaling, image mirroring, mean filtering, contrast stretching, Laplacian sharpening (edge detection), block codes, Sharpening gradient, gray balance, histogram equalization, discrete cosine transform, Wiener filter, reverse filtering, threshold transform, Gaussian smoothing.)

基于灰度图像进行傅立叶变换后的二值化处理(Binarization based on the Fourier transform after the gray image processing)

对BMP文件进行图像处理，包括：边缘检测、频域变换、几何变换、图像变换校正、灰度变换、图像编码、平滑和匹配(BMP files for image processing, comprising: an edge detection, a frequency domain transformation, geometric transformation, image transformation correction gradation conversion, image coding, and matching the smooth)