image_mosaicking_SURF

用于分别从四个方向提取图形图像的纹理特征(For texture feature graphic images were extracted four directions)

自动图像拼接，利用SIFT特征匹配算法，RANSAC(random sample consensus)算法，加权平滑算法等技术克服了传统图像拼接技术中的局限性(如光照、尺度变化的影响等)，实现了光照和尺度变化条件下的多视角无缝图像拼接(Automatic Image Stitching  Local features detection  Features Matching  Homography Estimation RANSAC Image blending )

改进后的非线性各向异性扩散用于图像中的保边去噪，增加了二阶导数，是滤波效果更好(Improved nonlinear anisotropic diffusion for edge preserving image denoising, an increase of second derivative, is a better filtering effect)

类似于photoshop软件处理，功能复杂简单耐用，适合于初学者学习参考(Similar to the photoshop software processing, functional complexity of simple and durable, suitable for beginners to learn information)

实现人脸识别功能，GUI界面，其中有测试人脸集，识别率95以上(To achieve face recognition function, GUI interface)

能直接用的GAC图像分割程序，很好用。具体内容可看程序(GAC can be directly used in image segmentation procedure, easy to use. To see program details)

可以在程式畫面上任意畫圖寫字並且可清除再任意使用(Can any drawing program screens and write and to clear any longer use)

图象特征提取的相位编组方法，欢迎各位同仁下载研究。(image feature extraction phase of organizational methods, and to welcome you download colleagues study.)

利用改进的“参考白”算法对彩色图像进行光照补偿(Using improved "reference white" algorithm to compensate illumination of color image.)

matlab实现gamma校正的算法，用以调整光照不均的图像。(matlab to achieve gamma correction algorithm to adjust the uneven illumination of the image.)