Description: 包括图像分析的四部分代码：matlab扩散和高斯函数，线性扩散，线性复扩散，非线性扩散。-It contains four parts：
[1]MATLAB function:diffusion.m gauss.m
[2]Linear diffusion
Applying linear diffusion to images creating linear scale-space.
MATLAB code: demo_lin.m
Image: haifa1.bmp
[3]Linear complex diffusion
Applying linear complex diffusion creating Gaussian and Laplacian scale-spaces. MATLAB code: demo_cmplin.m
[4]Nonlinear diffusions:
Perona-Malik ["Anisotropic diffusion"]
Catte et al. regularization of P-M
Complex ramp-preserving diffusion
Nonlinear edge preserving diffusions.The classical Perona-Malik process: the value of the diffusion coefficient is reduced near edges estimated by the first derivative. Best applied to step edges. A regularized version by Catte et al- the gradient estimation for controlling the process is smoothed by a Gaussian. Proved to be mathematically well-posed. Ramp preserving complex diffusion- best for ramp-type edges. Results are smoother with almost no staircasing effects.
MATLAB code: demo_nldif.m
Image: ct_scan.bmp Platform: |
Size: 239616 |
Author:吴豪科 |
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Description:
第一章作业：
用C语言或者VC，VB，Matlab或其他语言完
成如下实验：
1）打开一个BMP文件
2）将其局部区域的灰度值进行改变
3）另存为一个新的BMP文件
要求显示出原BMP图像和新BMP图像。
1。打开一幅图像，添加椒盐、高斯噪声，然后使用邻域平均法、中值滤波法、K邻近平均法进行平滑。
2。打开一幅图像，利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。
第五章作业
编写一个程序，对输入的图像进行哈夫曼编码，显示原图像的熵、编码后的平均码字长度、并能够根据编码重建出图像。
在图像中生成一个矩形，然后用模板匹配法找出矩形位置。使用SSDA或改进SSDA法。
第五章作业
编写一个程序，对输入的图像进行哈夫曼编码，显示原图像的熵、编码后的平均码字长度、并能够根据编码重建出图像。
-Chapter operations: in C or VC, VB, Matlab or other languages to complete the following experiment: 1) open a BMP file 2) the gray value of its local area to change 3) Save as a new requirements display BMP files the original BMP image and the new BMP image. 1. Open an image, add salt and pepper, Gaussian noise, and then use the neighborhood average, median filtering, K adjacent average smoothing. 2. Open the image using the Roberts gradient, Sobel operator and Laplacian sharpening, and compare the results. Chapter operations to write a program, the input image Huffman, display the original image entropy encoded average code word length, and be able to reconstruct the image according to encoding. Generate a rectangle in the image, then use template matching to identify position of the rectangle. Or improved using the SSDA SSDA method. Chapter operations to write a program, the input image Huffman, display the original image entropy encoded average code word length, and be Platform: |
Size: 6144 |
Author:杨智雄 |
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Search - Laplacian of Gaussian code in matlab