图像的纹理分析方法，图像的纹理分析应用实例

这个程序演示了通过NEO的基本绘图函数实现的粒子系统――瀑布效果-demonstration of this process through the NEO basic mapping function to achieve the particle system-- waterfalls

图像检索系统 frimcla-1.0 功能强大-Image Retrieval System frimcla-1.0

VC++实现图像检索技术 a) 采用颜色检索方法的目的： b) 利用颜色直方图进行检索：-VC Image Retrieval a) color retrieval method purpose : b) the use of color histogram retrieval -VC++ Achieve image retrieval technology a) the use of color retrieval methods aim of: b) use of color histogram retrieval:-VC Image Retrieval a) color retrieval method purpose: b) the use of color histogram retrieval

图像分割包含并行边界、并行区域、串行边界、串行区域分割-Parallel image segmentation includes the border, parallel region, a serial boundary, serial region segmentation

人脸识别软件，可以识别人脸进行监控的软件-face reco

手写数字识别，能识别0-9，识别精度高，程序简单-Handwritten numeral recognition, to identify 0-9, identification of high accuracy, simple

在VC中实现了图像的各种运算，在图像变换中要用到很多的图像变换，我做了整理放在这里大家一起共享-In VC to achieve a variety of computing the image, the image transform used to transform a lot of images, I here to do the finishing on the U.S. work together to share

一款很好用的图像格式转换软件.其功能是将ppm图像格式转为raw格式化.-the image format conversion software. Its function is to be ppm raw image format to format.

细胞粘连分割算法，采用vc++6.0编译环境，能够实现粘连细胞图像的分割，算法具有一定的参考价值。-Cell adhesion segmentation algorithm, using vc++6.0 to compile the environment, to achieve adhesion cell image segmentation, the algorithm has a certain reference value.

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.