扫描线种子填充算法 C语言实现 已在Turbo C&C++上成功运行

普通的vc绘图程序，重画内存dc位图，还没有保存功能。-ordinary vc mapping procedures, re-drawing of memory dc bitmap, no retention.

熵编码（多媒体图像处理）-entropy coding (multimedia image processing)

资源描述1.例程使用的是Quartus II 11.0sp1版本； 2.例程的源代码放置到工程目录下的source文件夹内； 3.工程目录下的tcl文件夹内放置的tcl脚本文件，是工程所用引脚的分配信息，你可以通过记事本打开，查看引脚分配情况；

一个用vc编写的图像计分程序-vc used to prepare an image points procedures

在VB的图形窗口中平滑滚动地图，源码运行没有闪烁-in VB graphics window smoothing rolling map source operating without blinking

This paper addresses a stochastic-#ow network in which each arc or node has several capacities and may fail. Given the demand d, we try to evaluate the system reliability that the maximum #ow of the network is not less than d. A simple algorithm is proposed "rstly to generate all lower boundary points for d, and then the system reliability can be calculated in terms of such points. One computer example is shown to illustrate the solution procedure.-This paper addresses a stochastic-#ow network in which each arc or node has several capacities and may fail. Given the demand d, we try to evaluate the system reliability that the maximum#ow of the network is not less than d. A simple algorithm is proposed "rstly to generate all lower boundary points for d, and then the system reliability can be calculated in terms of such points. One computer example is shown to illustrate the solution procedure.

提出一种新的非线性变换的彩色空间 ″″, 利用次高斯概率分布函数拟合皮肤色度信息, 得到候选区 YC C r b 域。为了排除候选区域中的非人脸, 首先根据均值和方差信息分割出候选区域中的纹理特征信息, 再通过多尺度 ) ( 信息定位眼睛, 然后根据人脸特征的几 形态边缘检测算子检测候选区域的边缘, 利用 边缘方向 PCA PCAED ( ) 何形状信息定位其他特征 鼻、嘴 , 通过这些几何特征信息对肤色分割得到的候选区域进行验证, 最终得到正确 的人脸区域。利用3 个实验数据集测试该算法, 并与其它相应的算法相比较, 提出的非线性彩色空间对于肤色分 割具有很好的效果, 且对光照和姿态具有良好的不变性。另外, 利用 信息和几何特征信息检测人脸特征 PCAED 具有很高的定位精度, 定位检测率优于其他方法。实验结果表明, 该算法具有定位准确率高, 漏检率和误检率低 等特点。- A novel approach for skin segmentation and facial feature extraction is proposed The proposed skin segmentation is a method for integrating the chrominance components of ″″ . ″″ r b r b nonlinear YC C color model The chrominance components of nonlinear YC C color space , are modeled using a subgaussian probability density function and then the face skin is seg . , mented based on this function In order to authenticate the face candidate regions firstly tex ture information in face candidate regions is segmented using mean and variance of luminance ,

尺度不变特征转换(Scale-invariant feature transform或SIFT)是一种电脑视觉的算法用来侦测与描述影像中的局部性特征，它在空间尺度中寻找极值点，并提取出其位置、尺度、旋转不变量，此算法由 David Lowe在1999年所发表，2004年完善总结。其应用范围包含物体辨识、机器人地图感知与导航、影像缝合、3D模型建立、手势辨识、影像追踪和动作比对。

该代码是一个用C++编写的面向对象的计算机视觉库，它包含了许多的功能用于解决数学问题，许多的图像处理算法等-the code is a C prepared by the object-oriented computer vision library, which contains many of the functions for solving mathematical problems, many of the image processing algorithm

Image Feature Extraction based on PCA