Examples of this chapter is a similar tool ACDSee image browser

一个新创的算法（复杂）-created a new algorithm (complex)

VB图像处理工具源码。浙江师范大学计算机学院一同学毕业设计源码，可惜因论文写的不好，成绩一般。但程序还是值得VB图像处理学习者参考借鉴的。-VB source image processing tools. Zhejiang Normal University Computer College graduates a source design, but because of the bad writing papers, the general results. But the process is still worthwhile VB image processing reference from the learners.

hy12864b液晶显示全部程序（汇编、C） 包括带字库液晶和不带字库液晶-hy12864b all LCD (Series C) includes a library with LCD and non-character LCD

Dispersion in an optical fiber

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 ,

通过hough变换求图像中的直线的参数(斜截式)-Through the hough transform for images of straight-line parameters (oblique cut-off type)

基本图形算法实现-basic graphics algorithm

这是图形学中关于圆生成算法的源程序，是结合了老师的意见后编写的。-This is the graphics on the circle of the source code generation algorithm is a combination of the views of teachers prepared.

2D图像处理高斯插值变换用于图像增强处理-2D image processing Gaussian interpolation for image enhancement transform treatment

Huffman编码的算法及其实现。 这是一个实验报告，请采纳!-Huffman coding algorithm and its implementation. This is an experiment report, adopted!