jbigkit-2.1

visualC 数字图像模式识别与技术详解，书籍源码部分。(visual C digital image pattern recognition and techniques detailed books source parts.)

说明：  可以计算图像结构相似性，评价图像质量(Similarity of image structure can be calculated and image quality can be evaluated)

说明：  视频图像处理相关，用傅立叶相关算法，给图像分割，达到预期效果。(Video image processing associated with Fourier correlation algorithm to image segmentation, to achieve the desired effect.)

说明：  对灰阶图像进行大气湍流滤波，使图像达到需要达到的效果(The atmospheric turbulence filtering is applied to the gray scale image to achieve the desired effect)

说明：  铁轨线检测，可以完成对直轨和弯轨的检测，效果较好(Rail line detection, can complete the detection of straight rail and curved rail, the effect is good)

Read jpeg rgb color structure

说明：  小波应用于图像融合的程序，选择的是5层小波分解(applied wavelet image fusion procedures, the choice is a five-storey wavelet decomposition)

： 对一种基于图像几何重心的特征点提取算法进行了改进 改进后的算法可以提取任何边缘线上凹凸处的特征点 其基本 思想是，首先提取图像的边缘轮廓线，计算封闭边缘线和非封闭边缘线的几何重心 然后以重心为极点，对边缘点极坐标化，形成 幅角-极径曲线，在该曲线上寻找局部极大极小值点 最后根据局部非极大（小）抑制原则对极大（小）值点进行取舍获得特征点 模 拟结果表明算法计算简单 稳定性好 该方法提取的特征点能准确地反映目标的形状，对目标的识别 跟踪以及三维表面重建等都 具有重要的价值(This paper modifiesakindoffeatureextractingalgorithmbasedonimageedge.First， imageedgeoutlineisextracted. Second， geometricgravitycenterofedgeoutlineiscalculated.Third， argument-polarradiuscurveofpolarcoordinatesystemwhose poleisgeometricgravityisformed， andmaximumandminimumvaluepointsaresearched.Atlast， featurepointsareobtainedby selectingmaximum （minimum） valuepointsaccordingtolocalnon-maximum （minimum） depressionprinciple.Theresultindicates thatthealgorithmissimpleanditsstabilityisgood.Itisimportantforobjectrecognitionandthree-dimensionreconstruction.)

说明：  SRM空间富模型隐写分析算法,选区高维特征，使用集成分类器进行训练(Spatial Rich Model Steganalysis Algorithms, Selection of High-Dimensional Features, Using Integrated Classifier for Training)

自适应阈值算法将前景从背景中分离出来包括非均匀光照。(Adaptive threshold algorithm to the prospect of separating from the background, including non-uniform illumination.)