资源列表
OTSU方法计算图像二值化的自适应阈值
- OTSU方法计算图像二值化的自适应阈值，OTSU 算法可以说是自适应计算单阈值（用来转换灰度图像为二值图像）的简单高效方法。下面的代码最早由 Ryan Dibble提供，此后经过多人Joerg.Schulenburg, R.Z.Liu 等修改，补正。算法对输入的灰度图像的直方图进行分析，将直方图分成两个部分，使得两部分之间的距离最大。划分点就是求得的阈值。都是老外写的，经典哦。-OTSU images calculated value of the two adaptive threshold,
n0-linear-sa(1)
- 一个马尔科夫分类算法，其中使用了马尔科夫估计方法，分类的精度高。-a classification algorithm, which used Markov estimation, classification of high accuracy.
用鼠标选定欲跟踪目标
- 该运行文件在VC6.0环境下编译通过，是一个 stand-alone 运行程序，不需要OPENCV的DLL库支持。在运行之前，请先连接好USB接口的摄像头。然后可以用鼠标选定欲跟踪目标。-document in the running VC6.0 environment compiler, is a stand-alone operating procedures, no OPENCV DLL library support. Before the operation, please conne
最小二乘法直线拟合 用VC实现的
- 一个基于VC的最小二乘法直线拟合,很有用哦-a VC-based linear least squares fitting method, useful oh
DiaMc
- 图象处理，包含图象处理类，图象读写、去除背景、二值化等等，同时演示了加载FormView功能。-image processing, including image processing category, read and write images to remove the background, values and so on, while loading FormView demonstrated functional.
图像处理与相机自动调焦
- 图象处理程序源代码，同时展示了相机自动调焦系统的控制技术。-image processing program source code and display the camera auto-focusing system control technology.
图像处理与数控技术
- 集中展示了图象处理功能和由图象处理到数控输出控制，是从事机器视觉开发不错的参考资料。-concentrated display of image processing functions and image processing from the output of CNC control, machine vision is engaged in the development of good references.
wave2gray
- 用小波的方法对图像进行二值化操作÷ 效果不错-wavelet methods of image binarization good operating results
分块代表色
- 基于分块代表色的图像检索：固定划分图像，提取每个分块的代表色作为特征-Block-based representative color image retrieval : fixed classified images from each block of color as representative of
K聚类
- 基于K均值聚类的图像检索：用K均值聚类方法提取图像特征进行检索-K-means clustering - based Image Retrieval : K-means clustering method of extracting image features Search
图标库
- 图标库，为大家提供丰富的图标，供打包选图标使用。-icon library, to provide a rich icons for the use of packaged elections icon.
java对bmp格式图象的处理
- 由于java对数字图象支持还远远不够，所以很难找到类和方法对图象进行好的处理，特别是bmp位图，我想我这是您的一个选择！-because of the digital image support is far from enough, it is difficult to find categories and methods of image processing good, especially bmp bitmap, I think this is the one you choose!