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- 组合圆形窗口单击窗口则调用SetWindow子过程设置窗口形状双击窗口则调用Reset子过程恢复窗口形状 将窗口恢复为矩形-portfolio circular window click SetWindow window is called sub-process forms double-click the Setup window is the window Calling Reset window-shape recovery process will resume rectangul
18205501NTGraph_src
- NTgraph详解。自己控制显示色彩，显示形状-NTgraph Detailed. To control the display color, display the shape
ShapeRecognationforBasicImages
- Shape Identification for Basic Images like square, circle.
wxWidgets_03
- shape program, using wxwidget to draw circles and rectangles.
shape
- 用QT编写的一个圣诞节礼物。场景为在圣诞之夜，圣诞老人到来送礼品。-Written with QT a Christmas gift. Scene in the Christmas Eve, Santa Claus arrived to send gifts.
a_basicdraw.tar
- qt小程序，可按照相应选项显示不同形状的图形，及转换用来绘制图形的线条。-a small program with Qt,using draw different shape.
Tree
- 用于将一颗树显示出来，并可通过点击左键生成不同的树的形状，这个程序是在CSDN用积分下载下来的，链表实现。-For the tree display, and can by clicking the left button to generate a different shape of the tree, this program is the CSDN integral downloaded, linked lists achieve.
shape
- 这是有关于基于图像内容检索的系统，源码调试过，没有问题-This is a shape code
WaterfallDemo
- 实现瀑布流形似并异步加载图片及对内存的控制。-Waterfall stream to achieve the shape and asynchronous load images and the memory control.
root_script
- 用root程序读取ntuple文件的信息时(root -l root_scr ipt.cxx)，需要此类型的画图脚本。输入存储信息的.root文件，取出指定tree下的leaf信息，画在一维直方图上，调整cut，不同的输入间图形对比，看图形形状的变化是否合理，进而解决问题。注：本程序在相关领域较实用，基本的东西都有，易于理解，借此入门，举一反三。-When reading information ntuple program file with the root (root-l root_scr
imadder-lumend-compl
- image analysis, since thickening of the bladder wall can indicate abnormality. However, it is a challenging task due to the artifacts inside bladder lumen, weak boundaries in the apex and base areas, and complicated outside intensity distributi
livehed-trai
- liver contrast-enhanced CT images that uses shape-intensity prior level set combining probabilistic atlas and probability map constrains. We first weight all of the atlases in the selected training datasets by calculating the similarities bet
ntationojsea
- Ultrasound images are difficult candidates for shape recovery because of low signal/noise ratio which greatly reduces the observable details within such images. Recently several methods based on evolution of partial differential equations