Description: 本软件是由作者经过数字图像处理课程的学习,采用vc++.net将其基本算法实现,其算法主要包括: 1.点运算(灰度直方图,直方图均衡处理,线性运算,二值化,灰度化等) 2.几何运算(旋转,放缩,镜像,平移) 3.几何空间增强(均值,中值滤波器,k近邻均值,中值滤波器,Roberts,sobel,priwitt,laplacian,wallis锐化算子等) 4.频率域增强(基2FFT进行空间域到频率域的转换,高斯,理想,巴特沃斯高低通滤波器) 5.形态学(膨胀,腐蚀,开,闭运算,边缘提取) 6.图像复原(加躁)----- 由于时间关系这部分为完成 7.另外加上一个用于读取24位dib的类。-the software is the author of Digital Image Processing courses of study, using vc. Net to its basic algorithm, the algorithm include : 1. Point Operators (histogram, histogram equalization, linear operation, two values, such as Gray) 2. Geometric Operational (rotation, scaling, mirror and translation) 3. geometric space enhancement (mean, median filter, k neighbors Mean, Median Filter, Roberts, segmentation, priwitt, Laplacian, Wallis Sharpening operator, etc.) 4. frequency Domain Enhancement (radix 2 FFT space frequency domain to the domain conversion, Gaussian, ideals, Butterworth High-Low Pass Filter) 5. Morphology (expansion, corrosion, open and close operations, edge extraction) 6. Image Restoration (plus impatient Hoffmann because of the time this is completed seven. Added to read fo Platform: |
Size: 3416061 |
Author:王晗 |
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Description: 本软件是由作者经过数字图像处理课程的学习,采用vc++.net将其基本算法实现,其算法主要包括: 1.点运算(灰度直方图,直方图均衡处理,线性运算,二值化,灰度化等) 2.几何运算(旋转,放缩,镜像,平移) 3.几何空间增强(均值,中值滤波器,k近邻均值,中值滤波器,Roberts,sobel,priwitt,laplacian,wallis锐化算子等) 4.频率域增强(基2FFT进行空间域到频率域的转换,高斯,理想,巴特沃斯高低通滤波器) 5.形态学(膨胀,腐蚀,开,闭运算,边缘提取) 6.图像复原(加躁)----- 由于时间关系这部分为完成 7.另外加上一个用于读取24位dib的类。-the software is the author of Digital Image Processing courses of study, using vc. Net to its basic algorithm, the algorithm include : 1. Point Operators (histogram, histogram equalization, linear operation, two values, such as Gray) 2. Geometric Operational (rotation, scaling, mirror and translation) 3. geometric space enhancement (mean, median filter, k neighbors Mean, Median Filter, Roberts, segmentation, priwitt, Laplacian, Wallis Sharpening operator, etc.) 4. frequency Domain Enhancement (radix 2 FFT space frequency domain to the domain conversion, Gaussian, ideals, Butterworth High-Low Pass Filter) 5. Morphology (expansion, corrosion, open and close operations, edge extraction) 6. Image Restoration (plus impatient Hoffmann because of the time this is completed seven. Added to read fo Platform: |
Size: 3416064 |
Author:王晗 |
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Description: 基于Matlab的结合Laplacian Pyramid 和反锐化掩膜的改进法的图像增强算法-Matlab based on a combination of Laplacian Pyramid and unsharp mask to improve the method of image enhancement algorithm Platform: |
Size: 3556352 |
Author:shijing |
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Description: 拉普拉斯边缘检测与图像增强,Matlab6.5实现的.m文件,附有原图、检测到的边缘图和增强后的图。-Laplacian edge detection and image enhancement, Matlab6.5 of implementation. M file, with image, detected and enhanced edge map after the map. Platform: |
Size: 216064 |
Author:张宇 |
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Description: 1.运用Laplacian算子,基于二阶微分的图像增强,即拉氏变换法进行图像平滑
2.利用邻域平均法实现图像的平滑处理
3.利用Robert算子做锐化处理-1. The use of Laplacian operator, based on second-order differential of the image enhancement, that is, Laplace transform method for image smoothing 2. The use of neighborhood average method of smoothing image 3. The use of Robert sharpening operator to do Platform: |
Size: 1024 |
Author:虞佳霓 |
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Description: Matlab function. Laplacian enhancement technique described in connection with Eq. (3.7-5). Use the mask shown in Fig. 3.39(d). Gonzalez. Image Processing-Matlab function. Laplacian enhancement technique described in connection with Eq. (3.7-5). Use the mask shown in Fig. 3.39(d). Gonzalez. Image Processing Platform: |
Size: 1024 |
Author:Blass |
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Description: 拉普拉斯算子,实现边界锐化。拉普拉斯运算是偏导数运算的线性组合[4-6],而且是一种各向同性(旋转不变)的线性运算。包含实验报告以及代码-Enhancement Using the Laplacian
(a) Use the programs developed in Projects 03-03 and 03-04 to implement the
Laplacian enhancement technique described in connection with Eq. (3.7-5). Use the
mask shown in Fig. 3.39(d).
(b) Duplicate the results in Fig. 3.40. You will need to download Fig. 3.40(a).
Platform: |
Size: 177152 |
Author:landy |
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Description: 下载并读入被噪音污染的Noisychurch图像数据,用Matlab 编程采用下述方法分
别实现该图像的增强操作:
1) 用空域法实现图像的增强,分别采用如下模板操作:2x2 和3x3 的幅值为1
的模板,比较去噪和模糊的折中效果;采用3x3 的中值滤波器进行去噪操作;
采用Laplacian 模板[0 -1 0 -1 5 -1 0 -1 0]进行锐化操作。
2) 用频域法实现该图像的低通和高通滤波,选择合适的截止频率。
3) 用小波分析法实现该图像的低通和高通滤波,注意离散小波分析的分解和重
构算法的运用。
4) 比较上述三种处理方法的结果。 -Download and read by the noise pollution Noisychurch image data using Matlab programming using the following method to achieve the image enhancement operation: 1) image enhancement airspace law, respectively, using the following template operation: 2x2 and 3x3 amplitude a template comparison denoising and fuzzy compromise denoising operation with a 3x3 median filter using Laplacian template [0-10 -15-1 0-10] for sharpening operation. . 2) low-pass and high-pass filtering of the image using the frequency-domain method, select the appropriate cut-off frequency. 3) low-pass and high-pass filtering of the image using wavelet analysis, pay attention to the use of discrete wavelet analysis decomposition and reconstruction algorithm. 4) comparing the results of the three processing method. Platform: |
Size: 2606080 |
Author:Haibin Zhang |
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Description: 理解和掌握图像的线性变换和直方图均衡化的原理及应用。
了解平滑处理的算法和用途,学习使用均值滤波、中值滤波和拉普拉斯锐化进行图像增强处理的程序设计方法。
了解噪声模型及对图像添加噪声的基本方法。
-Understand and master image of linear transformation and histogram equalization principle and application. Smoothing algorithms to understand and use, learning to use mean filtering, median filtering and Laplacian sharpening for image enhancement processing program design methods. Understanding of image noise model and the basic method of adding noise. Platform: |
Size: 643072 |
Author:杨文凌 |
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Description: 对于原始图像 < f5.tif > ,实现下列结果。
a.用平均滤波器平滑原始图像得到的模糊图像
b.用拉普拉斯算子增强上述a得到的模糊图像
c.用拉普拉斯算子增强原始图像
-For the original image <f5.tif>, to achieve the following results.
a. smoothing filter with an average original image was blurred
b. using Laplacian enhancement get a blurred image above
c. using Laplacian enhancement of the original image Platform: |
Size: 2941952 |
Author:瑞安 |
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