hough变换中的非零点检测，找到非零点，进行累加，才能找出直线...

3*3 中值滤波的verilog代码实现，已经调试通过！欢迎提出宝贵意见！-3* 3 filtering to achieve the verilog code has been adopted debugging! Welcomed the valuable advice!

ITK 是美国国家卫生院下属的国立医学图书馆投入巨资支持三家科研机构开发 医学影像分割与配准算法的研发平台，现已开发了初步版本。是医学影像算法平台的 重要组成部分。 -Itk are affiliated with the United States National Institutes of Health National Library of Medicine invest huge sums of money to support the three research institutions to develop medical image segmentation and registration algorithm R

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.

现在我们给定两幅ALV路标的捕捉图像，我们实际工作中首先要捕获路标（这里我们假定环境中已经有路标），而此时的景象是难以预知的：我们不知道路标在什么位置、是什么路标、除了路标还有那些图像模式？ 基本要求：使用本章学习的K－平均算法，以颜色分量（或几何性状）作为坐标参数，对景象图进行聚类分析，要求最后的分类结果将路标（可能包括少量相似区域）聚类为一个模式类别。试验报告同前面一样，要求给出样本模式点，绘制坐标图（标出各个聚类中心的迭代移动轨迹） ，绘制算法框图，给出结论。并检查上机结果。 -err

图形文字处理编程,查找并定位文字串,可以用于图象处理-GDI+ graphics handle language programming, search and locate the text string

这个一个opencv入门级代码，实现腐蚀功能。可以借鉴学习opencv的库调用-an entry-level code to achieve corrosion function. OpenCV can draw on and learn from the library call

自己编写函数实现直方图均衡化法增强图像,前后对比图像，已经通过调试-I have written function histogram equalization method to enhance images, before and after contrast images, has passed debugging

梯度锐化：通过处理使图像的棱角更加分明，边缘对比明显-Gradient sharpening: by processing the image edges and corners to make more clear, obviously the edge contrast

基于OpenCV的距离变换，实现计算输入图像的说有非零象素与其最近零象素的距离。-OpenCV based on distance transform, realize that the calculation of the input image has non-zero pixel with its recent zero-pixel distance.

可用于图像处理中的傅立叶逆变换子程序，使用fortran编程-Can be used for image processing in the inverse Fourier transform subroutine, use the fortran program