资源列表
co-occurrence-matrix
- 计算一幅图像的像素和右下一个像素的共生矩阵。-Calculate the co-occurrence matrix of an image.
yvutorgb_Delphi
- 关于DELPHI版的yvutorgb，适用于图像视频转换功能-About DELPHI version of yvutorgb, applied to image video conversion function
Robinson
- 在Java下的基于Robinson算法的数字图像边缘检测算法的实现-Robinson in Java-based algorithm for digital image edge detection algorithm
digital_watermarkings
- 该程序有matlab的GUI界面，用离散余弦变换实现了数字水印图像嵌入，并且能够从处理过的图像中提取出水印。所有的图片都经过二值化处理，这是一个黑白图像的数字水印嵌入程序。-The program has matlab GUI interface, with the discrete cosine transform to achieve the digital watermark embedding and can be processed images from the extracted
MyActiveX
- 一个关于osg和activex结合的例子，您可以随意复制和修改。-an example of osg and activex, you can change or copy the code as your pleases
sc
- matlab自编迭代法求阈值，并按照此阈值对图像进行二值化处理。-matlab self iterative method for threshold and follow this threshold for image binarization processing.
fruit-identify
- 基于matlab环境，实现了对不同水果识别，并编写了优美的GUI界面，包含代码及水果图片-Based on matlab environment, the realization of different fruits identification and prepared a beautiful GUI interface, including code and fruits Pictures
kinect-3d-rebuild
- 基于kinect传感器的3d重建算法，该算法在使用C++编写，能够很好进行3D建模-Kinect sensor based 3d reconstruction algorithm using C++ writing, very good for 3D modeling
facedetector_src_shixian
- 基于kinect的人脸识别程序，由于kinect具有深度信息，识别精度较高-Kinect-based face recognition program, because kinect-depth information, the identification of high precision
TestTreeCtrlExGundon
- 对树控件滚动条进行二次开发，达到滚动条的美化，可以随意更换你想要的效果-Tree control scroll bar on the secondary development to achieve the scroll bar landscaping, you can freely change the effect you want
GraphCut
- 基于CraphCut和FCM的肝脏CT图像分割程序，其中包括对读入图片的简单裁剪功能。-Based CraphCut and FCM liver CT image segmentation procedures, including support for reading simple picture cropping function.
image_fusion
- 本程序集合了互信息配准，PV差值，powell算法，基于小波变换的图像融合的一整套算法。只需要在GUI界面输入两幅图像，即可自动完成图像的配准融合。程序包含Matlab源代码。用Matlab打开imagefusion.m，即会弹出gui界面。融合前要输入参考和浮动图像。图像要求像素的 长＊宽 一样。否则会报错。程序只能处理灰度图像，彩色图像也会转化成灰度图像处理。程序代码已经有详细的注释，方便读者理解。-The procedures set of mutual information, PV d