OSEM_improve

图像孔洞/裂缝的填充算法。根据图像的同态性，采用最邻近插值的思想。(Image holes/cracks in the fill algorithm. According to the image of the same state, using the nearest interpolation ideas.)

图像的读入，放大，cany检测，二值化，灰度化，任意角度旋转(Read image, zooming, cany detection, binarization, gray, and arbitrary rotation angle)

利用MATLAB对图像边界内部的部分进行填充，以便后期对图像处理(Using MATLAB within the boundaries of the part of the image to fill, so that the latter part of the image processing)

进行kcm和fcm聚类分割图象的性能比较(kcm for clustering segmentation and image fcm Performance Comparison)

基于图像对比度和波段相关性的波段选择算法，适用于高光谱图像的特征选择(Bands selection algorithm based on image contrast and correlation of bands for hyperspectral image feature selection)

能针对二值图像进行曲线的提取. 对于背景不太复杂的图像，效果可以。 只针对单像素(extract curve from binary image only for single pixel line.)

tiff图像的读取与处理，并且说明清新，有很大的帮助。(The reading and processing of the tiff image, and the description of the fresh, is of great help.)

高动态图像(HDR)合成算法，多曝光图像的配准算法(High dynamic image (HDR) synthesis algorithm, multi-exposure image registration algorithm)

说明：  人脸检测算法对Haar特征推进，我们已经改善了大幅利用作为弱分类器的阈值中的累积概率分布点。(A face detector based on VJ algorithm (Boosting on HAAR features). We have improved the performance drastically by using mid cumulative probability distribution point as threshold for weak classifiers. )

说明：  关于数字图像一些典型隐写的隐写分析。隐写、分析和提取的讲解(Steganalysis of Some Typical Steganography in Digital Images)