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: 多尺度图像技术指对图像采用多尺度的表达,并在不同尺度下分别进行处理,也称多分辨率技术
金字塔是一种有效的多尺度表达结构
构建高斯金字塔和拉普拉斯金字塔
高斯低通滤波器
对应高斯金字塔中相邻两层图像差的带通滤波器
-Multi-scale imaging technology refers to the image using multi-scale expression, and in different scales, respectively, for processing, also known as multi-resolution technology pyramid is an effective expression of the structure of building a multi-scale Gaussian pyramid and Laplacian pyramid, Gaussian Gaussian low-pass filter corresponding to adjacent two-story pyramid with poor image bandpass filter Platform: |
Size: 1024 |
Author:Mingruixia |
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Description: 数字图像处理最基本的一些算法,包括图像的Hough变换.维纳滤波.拉普拉斯高斯边缘检测等,是txt格式的源文件。-Digital image processing some of the most basic algorithm, including the image of the Hough transform. Wiener filter. Laplacian of Gaussian edge detection and so on, are the source txt file format. Platform: |
Size: 21504 |
Author:kunlunshanjiao |
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Description: These are Digital Image processing algorithm implementation in Matlabs. Following are the Matlab Codes attached:
Butterworth Filter in Frequency Domain
Gaussian Filter in Frequency Domain
Homomorphic Filter
Laplacian Transform
Histogram Equalization Function
Platform: |
Size: 4096 |
Author:Rizwan |
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Description: 这MFC图像处理源代码总集包括了均值滤波,直方图均衡,高斯平滑,,锐化,拉普拉斯锐化(边缘检测),阈值变-This MFC source code for the total set of image processing, including the mean filter, histogram equalization, Gaussian smoothing, sharpening, Laplacian sharpening (edge detection), the threshold changes ....... Platform: |
Size: 8814592 |
Author:萤火虫 |
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Description: 本程序是基于vc的log算子,进行边缘检测。log算子是拉普拉斯算子和高斯低通滤波的结合,希望我的程序对大家的学习有所帮助。-This procedure is based on the vc log operator, edge detection. log operator is a combination of Laplacian and Gaussian low-pass filter, and want my program to help everyone to learn. Platform: |
Size: 22833152 |
Author:ZHANGAIJUAN |
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Description: 现有三幅图像,图像1是包装瓶中的气泡图片,图像2是印刷电路板的元器件焊接质量检查图,图像3是封装后的胶囊状药品。实验要求从这三幅图片中,
1. 选择一副图像,并叠加零均值高斯噪声,分别利用均值滤波和中值滤波器对该有噪图像进行滤波,显示滤波后的图像,比较两滤波器的滤波效果。
2. 选择一副图像,并叠加椒盐噪声,分别用均值滤波器,中值滤波器对该图像进行滤波,比较滤波器的滤波效果。
3. 选择一幅图像,分别利用Laplacian算子和Sobel算子对图像进行锐化操作,比较锐化的效果。-Three images, image packaging bottle of bubbles picture, image 2 printed circuit board components, welding quality inspection, the image is packaged in capsule form drugs. Experiments from these three pictures, select an image, and superimposed on the zero-mean Gaussian noise, respectively, the mean filter and median filter the noisy image filtering, display the image after the filtering, comparison of two filtering filtering effect of the device. 2 Select an image, and superimposed on the salt and pepper noise, respectively, the mean filter, median filter to the image filter, more filter filtering effect. Select the image, respectively, using the Laplacian operator and Sobel operator to image sharpening operation, more sharpening effect. Platform: |
Size: 199680 |
Author:李新文 |
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Description: Leung-Malik (LM)滤波器组由48个滤波器组成-The LM set is a multi scale, multi orientation filter bank with 48 filters. It consists of first and second derivatives of Gaussians at 6 orientations and 3 scales making a total of 36 8 Laplacian of Gaussian (LOG) filters and 4 Gaussians. We consider two versions of the LM filter bank. In LM Small (LMS), the filters occur at basic scales . The first and second derivative filters occur at the first three scales with an elongation factor of 3 (i.e. and ). The Gaussians occur at the four basic scales while the 8 LOG filters occur at and . For LM Large (LML), the filt ers occur at the basic scales Platform: |
Size: 1024 |
Author:彭欣荣 |
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Description: Edge detection is widely used in image processing, image recognition and computer vision. Tradition edge detection
methods have a lot of disadvantages. This paper presents a new edge detection algorithm base on Matching Pursuit
(MP). Our method has four steps. Firstly, the color image is converted to gray Image. Secondly, the residual part of
Matching Pursuit algorithm with the Wavelet Packet dictionary is extracted. Thirdly, the Gaussian Filter is applied to
remove the additional parts of the previous image and finally, the Ostu’s thresholding method converts image to
binary form. We compared our algorithm with the tradition methods like Prewitt, Sobel, Laplacian of Gaussian (LOG)
and Canny operators. Results show that our algorithm has high value of Performance parameters such as PR, PSNR
and FOM compared to other algorithms. Platform: |
Size: 1069056 |
Author:sacoura |
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Description:
1、图像中值滤波实验
①用imnoise函数在图像’lena.bmp’中值添加椒盐噪声,观测结果
②用medfilt2函数对含噪声图像中值滤波。
2、使用fspecial函数生成均值、Prewitt、Sobel、Laplacian滤波模板,再用filter2函数对‘cameraman.tif’图像进行空域滤波,显示滤波结果。
3、设计高斯低通和高通频域滤波器,对‘phantom.bmp’图像进行频域滤波,显示滤波结果。然后改变滤波器截止频率,观察对结果的影响。
4、用imdilate, imerode, imopen, imclose函数对‘326.bmp’进行膨胀,腐蚀,开启,闭合运算。(结构单元均取3*3矩形模板)。-1, image filtering experiment ① with imnoise function adds salt and pepper noise image ' lena.bmp' in value, with observations ② medfilt2 function noisy image filtering. 2, using the function generation fspecial mean, Prewitt, Sobel, Laplacian filter template, and then filter2 function ' cameraman.tif' image spatial filtering, display filtering results. 3, the design of Gaussian low-pass and high-pass filter in the frequency domain, for ' phantom.bmp' image frequency domain filtering, filtering results show. Then change the filter cutoff frequency, observe the effect on the results. 4, with imdilate, imerode, imopen, imclose function ' 326.bmp' is expanded, erosion, opening and closing operations. (Structural units were taken 3* 3 rectangle template). Platform: |
Size: 116736 |
Author:郭亚周 |
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Description: 调用自定义函数解决题目:
1.读取自然图像、生成合成图像、高相关图像、高去相关图像,完成压缩
2.得到傅里叶变换后的图像
3.fft中心变换\walsh变换,进行两种变换的对比
4.得到傅里叶变换后的图像和傅里叶变换需要的时间,显示变换后的图像,显示傅里叶变换时间随图像像素的变化
5.显示不同阶数butterworth高通滤波和低通滤波滤波器的传递函数和处理后的图像
6.调用butterworthw.m,显示原图像、原图像频谱、低通滤波、高通滤波的传递函数,以及滤波器处理后的图像
7.拉普拉斯高斯滤波器进行滤波处理图像,同时显示原图像和滤波处理后图像
8.增强的图像,同时显示原图像、增强图像、再次增强图像和它们的直方图
9.kirsch\sobele提取图像边缘并显示,同时显示自然图像、合成图像、它们kirsch提取边缘处理的图像、它们sobel提取边缘处理的图像,便于对比
10.压缩,并显示不同像素值的图像;得到傅里叶变换后的图像、傅里叶变换、傅里叶中心变换需要的时间(Program the Discrete Fourier Transform (DFT) and time this program to see how it
varies as a function of the image size.
Implement the Laplacian of the Gaussian filter on different images and determine the
different results for the different standard deviations.
Implement two of the edge detection operators (Kirsch and Sobel) and compare their
respective results as a function of their edge data extraction for a same gray scale
threshold.) Platform: |
Size: 634880 |
Author:malvina
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