bilinear_interpolation

ASP.NET甘特图表

) 使用分块的主成分分析方法(PCA)对人脸图像进行压缩编码。针对PCA方法计算量大的缺点,首先把问题转化成奇异值分解(SVD)问题,然后设计了特征空间的更新算法,通过递推,简化每一步计算的计算量,达到了实时编码的要求。 4) 在Windows平台下基于Video for Windows(VFW)接口开发了人脸视频图像编码和解码的实验系统,该系统实现了图像采集、图像显示、编码、解码等功能。() The use of sub-blocks of principal component analysis (PCA) on the human face image coding. PCA method for large defects, first of all the issues into a singular value decomposition (SVD) problem, and then design a feature space of the update algorithm, recursive, simplifying the calculation of the amount calculated at each step to achieve real-time encoding requirements. 4) In the Windows platform based on Video for Windows (VFW) interfaces, the human face image coding and decoding video experimental system, the system achieved image acquisition, image display, encoding, decoding functions.)

thin plate spline（薄板样条）模型，将已知图像通过非刚性变换得到所需要的图像，在图像配准中非常有用。(thin plate spline (thin plate spline) model, will be known through non-rigid image transformation to be necessary by the images of image registration in very useful.)

数字图像处理radon+matlab变换算法代码(Digital image processing algorithms transform radon+ matlab code)

先进行高斯金字塔分层，在拉普拉斯分解，最终将两幅局部有模糊的图像进行融合，最后显示清晰图像。(First Gaussian pyramid stratification, in Laplace decomposition, the final two local fuzzy image fusion, and finally show a clear image.)

说明：  功能简单的截图，可以像qq那样截图，并有图片处理功能(Simple screenshots, like QQ screenshots, and image processing capabilities)

已知一图像的轮廓，计算该轮廓质心，并标注在图上(A known the outline of image, the contour centroid calculation, and marked on the map )

图像分割，显著性算法的precision，recall 和ROC的评价指标计算。(Image Segmentation, significant precision,recall and ROC assessment index calculation algorithm.)

简单的介绍了基于matlab的QR码的识别，包括图像的预处理，图像定位，图像的识别等(This paper briefly introduces the recognition of QR code based on matlab, including image preprocessing, image positioning, image recognition and so on.)

snake算法的c源代码,一般snake算法可以用于图像的边缘检测,是一种比较新的方法(snake algorithm c source code, the general snake algorithm can be used to image edge detection, is a relatively new approach)