read_radiance

说明：  对24位的彩色图像用中位切分(中位区分）法将其转换成8位索引图像，并且生成对应的颜色查找表。(median-cut algorithm,8-bit index map, lookup table,256 colors,)

遥感信息工程学院遥感原理与应用课程实习植被指数(Vegetation Index of Remote Sensing Principle and Application Course Practice)

这是一个用于血管分割的程序，程序中附带多幅测试图片(This is a program for vascular segmentation, with multiple test images attached to the program)

这是我根据别人的算法写的模拟停车场问题的c程序,原有算法有一些指针调用的错误！,现已改正()

这是一个工具箱，可以对经过平行视觉处理之后的图片进行三维重建，得到视差图。GUI操作，简单易懂，功能强大。(This is a toolbox which can reconstruct the 3D picture(stereo matching or stereo construction) with 2 pictures from parallel view. You can finish the process with GUI easily. )

连续投影算法的Matlab程序 下载后可以直接使用(Successive projections algorithm )

实现BM3d denoising的源代码。 (BM3d denoising implementation source code)

有关改良Canny算法的一些还算可以的文献(Improved Canny algorithm on some literature.)

传统的图像分割方法可以分为基于阈值、边缘、区域的方法等，而传统的分割方法在复杂图像分割中效果不好。为了提高图像分割的性能，我们提出了一种基于局部自适应窗口的Otsu方法。首先，分析了传统阈值法在复杂图像分割中不能很好地形成的原因，比较了全局阈值和局部阈值对图像分割的影响。其次，提出了根据局部信息自适应地改变局部窗口大小的方法，分析了该方法的特点。最后，证明了所提出的新方法优于其他方法。实验结果表明，与其他传统方法相比，该方法能保持更多的细节，获得更满意的结果。(The traditional image segmentation methods can be divided into thresholding, edge and region methods. The traditional segmentation methods do not perform well in the segmentation of complicated images. In order to improve the performance of image segmentation, we propose an adaptive windowed range-constrained Otsu method based on local information.First, the reason why traditional thresholding methods do not perform well in the segmentation of complicated images is analyzed. Therein, the influences of global and local thresholdings on the image segmentation are compared. Secondly, a method of adaptively changing the local window size based on local information is proposed, and the characteristics of the proposed method are analyzed. Finally, the superiority of the proposed method over other methods, It is validated by the experiments that the proposed method can keep more details and acquire much more satisfying results as compared with the other conventional methods.)

信息隐藏技术实验教程 源代码 武汉大学出版社出版(Information Hiding Technology Experiment tutorial source code Wuhan University Press)