特征点提取方法

简单的图形程序，包括场景生成，渲染，贴图，gamma correction，高级建模等等，可以供图形学基础知识的学习。-simple graphical procedures, including Scene, rendering, mapping, gamma correction, advanced modeling, etc., for graphics based on the study of knowledge.

ycbcr422 to rgb565 convert

对弱小显示的动态目标进行检测，并且添加边缘检测，和加上反色检测-Show that the dynamic of the small target detection, and add edge detection, and combined with the anti-color detection

curvelet变换贝叶斯估计方法，用于估计含噪声图像的噪声参数。再对图像进行去噪处理-curvelet transform Bayesian estimation methods used to estimate the image noise with noise parameters. Re-image de-noising processing

图像降噪 对图像中的加性噪声能够自适应滤除-Image denoising the image of the additive noise can be self-adaptive filtered。

这是我的 图象细化程序,在C++builder 环境下运行-This is my thinning procedure, the C builder operating environment

基于matlab的目标跟踪和识别的源代码，很不错。可以-Matlab-based target tracking and identification of the source code, is pretty good. Can

肤色检测代码，精确度能有80左右。matlab代码 -Color detection code, accuracy can have 80 or so. matlab code

摘要：拐点是数字图像中的一个重要信息载体 提出一种新的拐点检测算法 该算法并非寻找连续空间中曲率的离散近似计算方法，而是源于离散曲线的外观特征，推导出离散曲线上拐点处k个点对间欧氏距离平方和局部最小这一重要性质。基于该性质，本算法首先利用Freeman链码的性质.过滤掉物体边界上明显不可能成为拐点的象素，然后在剩余的边界点中通过寻找该局部最小值定位出拐点。给出了本算法与四种著名拐点检测算法的对比实验。 -Abstract: The inflection point is a digital image of an important information carrier put forward a new turning point detection algorithm the algorithm does not look for continuous space discrete approximation of the curvature calculation method, but from the appearance of characteristics of discrete curve derived discrete curve the inflection point at k-points between the squared Euclidean distance and the local minimum of this important property. Based on the nature of the algorithm is the first to use Freeman chain code in nature. Filter out objects clearly can not become a turning point on the border pixel, and then in the remaining boundary points by finding out the turning point of the local minimum position. The algorithm is given inflection point detection algorithm with th

用小波变换对图象进行灰度处理Wavelet-Using Wavelet Transform of image gray-scale deal with Wavelet