predicate

在matlab平台上实现对医学图像人脑部的分割采用c语言编写(In matlab platform to realize human brain medical image segmentation using c language)

很好的图像分割软件，内有全部源码，对研究matlab图像识别处理很有帮助(good image segmentation software, comprising all the source code, the study Matlab image recognition processing helpful)

图像处理效果评价,评价指标包括峰值信噪比，熵，以及均方误差，具体公式请参考相关文献(photo)

Log整合功能. 自動整理紀錄檔部份檔案.(Log Arrange. Auto Message.)

利用Mean-shift进行平滑处理，主要是对图像进行平滑的界面，MFC和OpenCV进行混合编程……(Mean-shift smoothing, image smooth interface, the MFC and OpenCV mixed programming ...)

一款VC++图像开场加载效果，向大家演示了几种图像装载的特效实现的方法，比如扫描显示、滑动显示、渐入显示和马赛克显示等，大家在使用一些幻灯片软件的时候，经学会看到类似的效果，如果你有一定的VC++基础，你可以借鉴一下本效果的具体方法，再次扩展，可以制作出一款带特效的图像查看器(The opening loading effect of a VC++ image to demonstrate the effects achieved in several image loading, such as scanning, slide show, getting into the display and mosaic display, we learn to look at some slides software to similar effect, if you have certain VC++ basis, you can learn about the effects of specific methods, extended again, can create the image of a band effects Viewer)

使用cnn + svm的分类，结果运行不错(Using CNN + SVM classification, the result runs pretty well.)

二维图像视觉显著性检测，效果非常好。California Institute of Technology的 Jonathan Harel写的，很经典。(Two-dimensional image saliency detection, the effect was very good. California Institute of Technology' s Jonathan Harel written, very classic.)

自主选择性的查看一幅图像中的部分区域的颜色直方图：允许用户在一幅图像中选择一个矩形区域，通过按住鼠标键画一个矩形，当鼠标放开是，高亮显示矩形框，同时在另一个独立的窗口中，使用画图函数画一个图表（选定区域的颜色直方图），分别用蓝，绿，红表示选中区域中每种颜色的像素数量。(Self-selective color in an image to view a partial area of ​ ​ the histogram: Allows the user to select a rectangular area in an image by holding down the mouse button to draw a rectangle when the mouse is released, the highlighted rectangle, Meanwhile in a separate window, using the drawing functions to draw a chart (selected color histogram region), respectively, with blue, green, red indicates the number of pixels in the selected area of ​ ​ each color.)

说明：  盲迭代反卷积算法，可以在不求PS的情况下恢复图像(Iterative blind deconvolution algorithm, can not seek restoration of the PS images)