资源列表
Ttiordiovneation
- The uation of ventricular function is impor- tant for the diagnosis of cardiovascular diseases. It typically involves measurement of the left ventricular (LV) mass and LV cavity volume. Manual delineation of the myocardial contours is time-co
Segmenents
- Segmentation of the cone-beam computed topographic (CBCT) image is an essential step for generating three- dimensional (3D) models in the diagnosis and treatment plan- ning of the patients
Qt_GetRGB
- 利用C++实现图像的二值化操作，并可以自定义阈值，实现二值化的快速操作-By using c++ realize image binarization operation, and can customize the threshold, achieve rapid operation of binarization
KDE
- 用MATLAB实现KDE算法，对20幅图像进行训练，用一幅图像进行测试-KDE algorithm using MATLAB to carry out training on 20 images, with an image for testing
testrect_linux_opencv
- 用codeblocks做的opencv调用摄像头的例子，codeblocks是一个高效的IDE。-an opencv example to test camera.codeblocks is a good ide for linux.
QRcode
- 用VS2013做的c++ 生成二维码源码，容错率和版本需要自己在代码里面修改，程序运行需要“qrcode_data”文件夹支持，压缩包里面已经包含。-C++ to do with the VS2013 to generate two-dimensional code source code, the fault rate and version of the need to modify their own code, the program needs to run the qrcode_d
jbjiaozheng
- 可直接调用实现桶形畸变校正功能，适用于水下图像或者鱼眼图像矫正，简化了算法。-Can directly call the realization of barrel distortion correction function, suitable for underwater image or fisheye image correction.
envelope_curve_hpfilter
- 可以进行图像边界处理，进行边缘检测，涉及高斯滤波-Can be edge detection, image boundary treatment, involving the gaussian filter
Gaussian-filter
- 1.图像直方图均衡化教程，实现对图像的对比度这增强处理，便于后续图像分割 2.对图像实现高斯高通滤波，并利用canny算法实现对边缘的提取-1 image histogram equalization tutorial to achieve the image contrast enhancement processing, easy to follow image segmentation 2 to achieve the image of Gauss high pass filter
Job1
- qt 实现样条线性插值，小车可以运动，可以暂停，可以清除-qt splineline insert
ColorAttentuationPriorDehazing
- 基于颜色衰减先验模型的单幅图像快速去雾算法。-A Fast Single Image Haze Removal Algorithm using Color Attenuation Prior
MSCNN_dehazing2016
- 通过CNN计算大气散射模型中的传播率，从而实现图像去雾-multi-scale deep neural network for single-image dehazing by learning the mapping between hazy images and their corresponding transmission maps