Description: ％ Image_Filt Performs linear and nonlinear spatial filtering.
％ F = Image_Filt(G, TYPE, M, N, PARAMETER) performs spatial filtering
％ of image G using a TYPE filter of size M-by-N. Valid calls to
％ Image_Filt are as follows: - Image_Filt Performs linear and nonlinear spatial filtering. F = Image_Filt (G, TYPE, M, N, PARAMETER) performs spatial filtering of image G using a TYPE filter of size M-by-N. Valid calls to Image_Filt are as follows: Platform: |
Size: 1024 |
Author:allen |
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Description: 基于Gabor变换的图像纹理识别。
提出了一种改进的Gabor变换的图像纹理增强算法，将空域的纹理图像变换到联合空间频率域并将联合空间
频率域的能量分布作为掌纹的特征，Gobar滤波器在频域内对子块其主方向上频率能量分布进行滤波，特征向量进行了匹配
识别，增强特征纹线信息并对核心区域进行多方向空间频率能量滤波合成，同时也对滤波算法进行了优化，有效地减少了运
算量。-Gabor transform based image texture recognition. An improved image of the Gabor transform texture enhancement algorithm, the airspace of the texture image transform frequency domain to the joint space and joint space frequency domain characteristics of the energy distribution as a palm, Gobar filter pair in the frequency domain block its the main direction of the energy distribution of the frequency filtering, feature vectors were matched to identify, enhance the features of ridge information as well as the core region of multi-dimensional spatial frequency energy filter synthesis, but also on the filtering algorithm has been optimized, effective in reducing the computational complexity. Platform: |
Size: 820224 |
Author:爱学习 |
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Description: 采用五种算子对图像进行空域滤波处理，实现去模糊效果。-Using five kinds of operators on the image spatial filter processing, and to the blurring effect. Platform: |
Size: 220160 |
Author:lixiaozhui |
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Description: Example of a two-dimensional Gabor filterIn image processing, a Gabor filter, named after Dennis Gabor, is a linear filter used for edge detection. Frequency and orientation representations of Gabor filter are similar to those of human visual system, and it has been found to be particularly appropriate for texture representation and discrimination. In the spatial domain, a 2D Gabor filter is a Gaussian kernel function modulated by a sinusoidal plane wave. The Gabor filters are self-similar – all filters can be generated from one mother wavelet by dilation and rotation
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Size: 7168 |
Author:Real1 |
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Description: QR码作为一种可高速、全方位识别的二维条码,已经在各行各业中得到了应用,并具有很大发展潜力.本文针对QR码图像的识别过程中可能遇到的图像噪声干扰、QR码占实际拍摄图像的一部分、倾斜、几何失真等问题进行了研究,提出了通过改进型中值滤波去除噪声,使用QR码符号特性定位并对倾斜图像进行旋转,对失真不严重的图像采用控制点变换和双线性插值方法进行几何校正.实验证明, 本文的方法简单有效, 可以用于提高条码的正确识别率.-As a high-speed, full identification of the two-dimensional bar code, QR code has been applied in all walks of life, and also has great potential for development. In this paper, aiming at QR code image recognition process may be encountered in noise interference, QR code accounting for the actual captured image just a part, slant, geometric distortion, and other issues have been studied, put forward through improved median filter to remove noise, use QR code symbol characteristics to locate and rotate the tilted image, distortion which is not serious use control-point transform and spatial bilinear interpolation method for geometric correction. The results show that this method is simple and effective, can be used to improve the QR code correct recognition rate. Platform: |
Size: 1319936 |
Author:ljj |
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Description: 空域图像增强，使得图像边缘尖锐化，使用了维纳滤波、均值滤波、中值滤波等-Spatial image enhancement, making the edges sharp, and the use of the Wiener filter, mean filter, median filter Platform: |
Size: 3965952 |
Author:黄阳 |
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Description: matlab图像处理工具箱及空域滤波函数的使用。理解和掌握图像空域滤波原理和方法-matlab image processing toolbox and use of spatial filtering function. Understand and master the principles and methods of image spatial filter Platform: |
Size: 425984 |
Author:charlie |
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Description: 空间域内的图像增强，包括均值滤波，线性滤波，倒数加权滤波，digital TV_new 模型去噪的主函数等-Matlab code for image enhancement in spatial domain，Including the mean filtering, linear filtering, the reciprocal of the weighted filter, the digital TV_new model denoising main function Platform: |
Size: 3072 |
Author:吴聪 |
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Description: 图像增强—频域滤波
2．利用MATLAB提供的低通滤波器实现图像信号的滤波运算，并与空间滤波进行比较。
3．利用MATLAB提供的高通滤波器对图像进行处理。-Image enhancement- frequency domain filtering 2. Using MATLAB low-pass filter to provide an image signal filtering operation is compared with the spatial filtering. 3. Using MATLAB provides a high-pass filter for image processing. Platform: |
Size: 553984 |
Author:潘逸诚 |
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Description: 用matlab实现的一个图像处理的简易Photoshop，主函数名为：Easy_DIP_byCmQ.m将整个解压，设为工作目录即可运行（含GUI）。包含图1形空间点变换，2图像空间模块变换，3滤波，4形态处理，5图像检测和分割，6傅里叶变换，7图像剪切和缩放等功能。-Using matlab to achieve a simple Photoshop image processing, the main function called: Easy_DIP_byCmQ.m entire decompression, the working directory is set to run (including GUI). Figure 1 contains a shaped spatial point conversion, two image space module transform, 3 filter, 4 forms processing, image detection and segmentation 5, 6 Fourier transform, 7 image cropping and scaling functions. Platform: |
Size: 4278272 |
Author:陈谋奇 |
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Description: 数字图像处理中空域滤波中领域平均的matlab程序代码-Average matlab code digital image processing in the field of spatial filter Platform: |
Size: 208896 |
Author:qing |
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Description: 实验2绿叶变色，实验3图像数字化显示，实验4图像类型转换，实验5对比度增强，实验6直方图均衡化和规定化，实验7噪声添加和空域滤波，实验8边缘增强和边缘检测，实验9彩色图像增强，fft，dct，dwt变化及压缩，滤波器，实验20运动退化和维纳波复原，实验21图像的几何畸形校正等实验的代码和报告-Experiment 2 leaves change color, 3 digital image display, the image type conversion, 4 5 contrast enhancement experiment, the experiment 6, histogram equalization and regulations 7 noise adding and spatial filtering experiment, experiment and edge enhancement and edge detection, the experiments of 9 color image enhancement, FFT and DCT, DWT and compression, filter, degradation experiment of 20 movement and wiener recovery, experiment 21 image geometric deformity correction code and report Platform: |
Size: 4436992 |
Author:陈琛 |
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Description: 本文是基于MATLAB的GUI来对不同的（彩色或灰色）图像进行图像增强的相关处理，主要包括以下四点：
频域变换：傅里叶变换和离散余弦变换及其反变换，可将图像在空域上的特性转化到频域上；
叠加噪声：对图像添加高斯噪声和椒盐噪声；
空域滤波：对噪声污染后的图像添加不同模板下的平滑滤波和锐化滤波，可选择不同模板尺寸；
频域滤波：对噪声污染后的图像添加理想低通滤波器、巴特沃斯低通滤波器、理想高通滤波器、巴特沃斯高通滤波器、带通滤波器、带阻滤波器等，可实现平滑图像的效果。-This article is based on MATLAB GUI for image enhancement associated processing different (color or gray) images, including the following four points: the frequency domain: Fourier transform and discrete cosine transform and inverse transform, the image can be characteristics of airspace on transformed into the frequency domain superimposed noise: the image to add Gaussian noise and salt and pepper noise spatial filtering: the image after adding noise pollution smoothing and sharpening filter under different templates, choose a different template size frequency domain filtering: the image after adding noise pollution ideal low-pass filter, Butterworth low-pass filter, the ideal high-pass filter, Butterworth high-pass filter, band pass filter, band stop filter, can achieve a smooth image effect. Platform: |
Size: 1406976 |
Author:笨鸟先飞 |
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