实现java的画图程序。功能，类似于赢得绘图板的一个..

实现了一个Class for storing any standart bitmaps in array，通过对数组运算来处理bmp图像的源代码。-achieved a Class for storing any standart bitma ps in array, the array of operations to handle bmp image of the source code.

自己写的形态学的寻找连通域的实现方法。调用了自己写的腐蚀和膨胀函数-Morphological write their own search for the realization of methods connected domain. Call to write their own corrosion and expansion function

可对图像进行几何、正交变换，图像增强，形态学变换，边缘与轮廓检测等的VC++实现源代码-Can image geometry, orthogonal transformation, image enhancement, morphological transformation, edge and contour detection, etc. VC++ Realize the source code

细化算法，提取二值黑白图象的骨架的VC实现-refinement algorithm, the value extracted two black-and-white images of the skeleton VC

本人多年前一个工控项目的CAD,为别人用这个CAD制作界面文件，里面用到了绘图的多个方面，展示了图形和对象的交互-a CAD industrial projects and for others to use this interface CAD production of documents containing depleted in many areas of graphics display graphics and interactive object

使用嵌入图形方式实现的图形程序-The example of implementing graphical program using embeded graphical mode

图像去噪的几篇论文。 望可以接纳。谢谢了。给大家参考参考哦-Image Denoising several papers. Hope will be accepted. Thank you. Oh for your information

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 ,

用C语言制作的星球-C language produced by the planet

图象平滑处理系统源代码-Smooth image processing system source code