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[Dialog_Window] imagedenoisingscalespace DL : 0: 在使用扩散过程平滑噪声之后引入反扩散过程来恢复边缘，结合尺度空间理论和反扩散函数对图像进行去噪处理。该方法使用最小描述长度(MDI )准则自适应地选择图像中每一点处的最优尺度对图像进行滤波。加入尺度范围限制降低了过平滑和欠平滑的影响。改进了反扩散函数模型，对降质图像中的边缘进行恢复。与经典的滤波方法以及各向异性扩散方程的结果相比。本文方法取得了较好的效果。-Diffusion process in the use of noise after smoothing the introduction of anti-diffusion process to restore the edge, combined with scale space theory and the anti-spread function of image denoising treatment. This method is the use of minimum description length (MDI) criteria for adaptive selection of images every point in the Agency
Date : 2025-12-30 Size : 220kb User : liqiangqiang
[Dialog_Window] LPMIR522 DL : 1: 这个程序是采用MFC编写的，目的是为了除去MIR挠核共振图片中的噪音！-This program is written in MFC, the purpose is to remove the MIR the torsion nuclear resonance picture noise!
Date : 2025-12-30 Size : 40.35mb User : 李鹏
[Dialog_Window] 3D-Graph DL : 0: labwindows环境下，编程实现一个高斯噪声的三维表现图。投影方式可以选择XY、YZ、XZ或无投影，绘图方式有线图、画图、点线图及点面图供选择。-Under labwindows environment, programming a three-dimensional Gaussian noise figure performance. Projection can select XY, YZ, XZ or no projection, drawing mode wired diagram, drawing, point and point-sectional view chart for selection.
Date : 2025-12-30 Size : 1.21mb User : 洛彬
[Dialog_Window] Digital-Image-Processing DL : 1: 有源码，适合学习C++的人一、读入一幅灰度图象，编写程序显示图象中任一象素点的灰度值。二、编程实现RGB彩色空间到HSV彩色空间的转换，并通过调整H、S、V的值实现图像亮度、色度和色饱和度的调节。三、 1.灰度线性变换、分段线性变换 2.灰度直方图均衡、规格化 3.图象卷积：各种模板实现低通、高通滤波 4.图象中值滤波、最大值滤波、最小值滤波、模板选择滤波 5.伪彩色图象增强四、 1.图象的加、减、乘、除和逻辑运算。 2.图象的镜像变换、图象的缩放（灰度插值）变换五、编程实现图象的FFT变换和反变换六、用逆滤波方法和维纳滤波方法恢复运动模糊图象（加噪声和不加噪声）七、编写程序实现灰度图象的分割： 1、阈值化算法：手动阈值、自动阈值(大津阈值) 2、区域生长 3、区域分裂合并-There is source code for learning C++ people one reads a grayscale image, write a program to display the image in any one pixel gray value. Second, the programming RGB color space to the HSV color space conversion, and by adjusting the H, S, V values achieve adjust image brightness, color and color saturation. Third, 1 gray linear transformation, piecewise linear transformation 2. histogram equalization 3. image normalized convolution: a variety of templates for low pass, high pass filter 4. image median filtering, the maximum filter minimum filtering, template selection pseudo-color image enhancement filter 5. four, plus 1 image, subtract, multiply, divide, and logic operations. 2. The image of image transformation, zoom images (grayscale interpolation) into five, programming image of FFT and inverse transform six, inverse filtering method and Wiener filtering method to restore motion blur image (plus noise and without noise) Seven, programming Grayscale image segmentation: 1, thresho
Date : 2025-12-30 Size : 1.02mb User : zl