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[Graph Recognizeobject_detection

Description: object detection,filter the bluring image-object detection, image filter the bluring
Platform: | Size: 1024 | Author: kingtjw | Hits:

[Special EffectsdIP

Description: 数字图像处理实验,for USTC,包括基础的图像处理效果如灰度均衡,高斯模糊,中值滤波,边缘提取-Digital image processing experiments, for USTC, including basic image processing effects such as gray balance, Gaussian blur, median filter, edge detection
Platform: | Size: 10040320 | Author: 张冬 | Hits:

[Windows DevelopImageProcessing5

Description: 图像高斯模糊处理,利用log边缘算子法对图像进行边缘提取,对象进行对角镜处理等-Gaussian blur image processing, the use of log marginal operator on image edge detection, object processing, such as diagonal mirror
Platform: | Size: 28672 | Author: huang jakie | Hits:

[Graph programImageProcessSys

Description: 含有了图像处理中一些经典和常用的图像处理算法,如:灰度图像处理,图像增强,图像变换,形态学图像处理。其中灰度图像处理包含三个算法:彩色图转灰度图,灰度图直方图,直方图均衡化;图像增强含有:增加椒盐噪声,中值滤波,sobel算子边缘提取(水平方向和垂直方向一起考虑),laplace算子边缘提取,模糊,锐化;图像变换含有:haar小波变换,RGB转HSV颜色空间。形态学图像处理含腐蚀,膨胀,开操作,闭操作。-Contains some of the classic image processing and image processing algorithms commonly used, such as: gray-scale image processing, image enhancement, image transformations, morphological image processing. One gray-scale image processing consists of three algorithms: color map turn gray level, gray level histogram, histogram equalization image enhancement includes: Increasing Salt and pepper noise, median filtering, sobel edge detection operator (horizontal and vertical the direction considered together), laplace operator edge detection, blur, sharpen image transformation includes: haar wavelet transform, RGB switch to HSV color space. Morphological image processing, including corrosion, swelling, open operation, closed operation.
Platform: | Size: 317440 | Author: 孙亚新 | Hits:

[Special Effectscom

Description: 图像处理算法,实现多种对于灰度/二值图像的基本算法,包括灰度直方图,均衡化,门限处理,模糊,锐化,腐蚀,膨胀,掩模过滤,频域转换,边缘检测,梯度检测,二值化等等.实现的方法较多,且均经过一定的优化,效率不错.-Image processing algorithms to achieve a variety of for the gray/binary image of the basic algorithm, including the gray histogram, equalization, threshold treatment, blur, sharpen, corrosion, expansion, mask filter, frequency domain conversion, edge detection, gradient detection, binarization and so forth. The way to achieve more, and have to undergo a certain degree of optimization, efficiency, good.
Platform: | Size: 35840 | Author: 李勇 | Hits:

[Delphi VCLCannyEdgeDetector

Description: canny edge detector is the best edge detection in the image processing field.in the first guassian blur in the image and then use sobel filter to get magnitude image
Platform: | Size: 5120 | Author: Delphi_CAT | Hits:

[Special EffectsimgprocCGsignalproc

Description: BMP图像处理程序,包括模拟信道产生的高斯加性噪声;图像灰度变换;图像的拉普拉斯边缘提取;中点滤波法的debluring;图像线性模糊。 图形显示函数,包括DDA方法画直线;中点裁剪法;liang-barsky算法的窗口裁剪;种子填充算法; 随机信号处理程序,包括产生正态分布、均匀分布样本;计算其均值与方差;各样本的概率分布直方图分析;功率谱分析;样本叠加的PSD分布分析。-BMP image processing procedures, including analog channel noise generated by high-Alaska image intensity transformation image Laplacian edge detection midpoint of the filtering method debluring image linear blur. Graphics functions, including DDA method to draw lines the mid-point cutting method liang-barsky clipping window algorithm seed filling algorithm random signal processing procedures, including the generation of normal distribution, uniform distribution of samples calculate the mean and variance the sample histogram analysis of the probability distribution power spectrum analysis sample stacking PSD distribution analysis.
Platform: | Size: 8192 | Author: 漢漢哥 | Hits:

[Special Effectsbaseimagpro

Description: 图像基本处理源代码,C语言,包含二值化、直方图均衡处理、边缘检测、高斯模糊等很多个程序代码,初学图像处理编程很好用-Basic image processing source code, C language, contains two values, histogram equalization, edge detection, Gaussian blur, and many a program code, image processing program is useful beginner
Platform: | Size: 5601280 | Author: 翁文第 | Hits:

[WaveletBlur-Detection-Using-Wavelet

Description: 基于论文<<Blur Detection for digital images using wavelet transform>>,使用Haar小波变换实现图像模糊度检测。-Based on paper <Blur Detection for digital images using wavelet transform> > , Using the Haar wavelet transform of image blur detection.
Platform: | Size: 3204096 | Author: QinQin | Hits:

[WaveletHWT

Description: 图像的小波变换,并进行图像模糊度检测算法 二值图像的小波变换算法-HWT algorithm of image blur detection
Platform: | Size: 665600 | Author: 李作任 | Hits:

[AI-NN-PRCopy-Detection

Description: 使用下采样帧构成的列向量的PCA系数作为每帧特征(原则上,也可以使用其他类型的关键帧特征),多帧特征构成特征矢量,以高斯概率模型的后验概率衡量相似性、并建立k维树结构的索引进行搜索,文中对噪声、模糊、再压缩、加Logo,及其这些变换的两两组合进行了实验(丢帧很少时也可以),速度很快,适合于大规模因特网视频的搜索。-Use sampling frame column vector of the PCA coefficients as each frame features (in principle, can also use other types of key-frame features), multi-frame features constitute the feature vector, the posterior probability of the Gaussian probability model to measure the similarity,and the establishment of the index of the k-dimensional tree structure search, to noise, blur, compression, Logo, its combination of two of these transformation experiments (dropped frames rarely), very fast, suitable for largescale internet video search.
Platform: | Size: 527360 | Author: 吴思远 | Hits:

[Special Effectsyundongmohukongyufangxiang

Description: 运动模糊,基于空域的方向检测,包括经典的那几篇文献-Motion blur detection, based on the direction of the airspace that several documents including the classic
Platform: | Size: 3264512 | Author: 杨文清 | Hits:

[Special Effectsabnormalhue

Description: 通过异常色调率的计算来进行图像人为区域模糊检测-By abnormal tone image area blur detection rate
Platform: | Size: 87040 | Author: ZN | Hits:

[Special Effectsmotion-blur

Description: 模糊角度和模糊长度是运动模糊的两个主要参数,代码简单介绍这两个参数的提取。-Motion direction and motion length are the two important parameters of motion blur.The code simply introduces the detection of the parameters.
Platform: | Size: 825344 | Author: 师雪艳 | Hits:

[File FormatDETECTION-AND-DECODING-OF-QR-CODE

Description: This an OPENCV based project. Here we are implementing the algorithm that uses adaptive methods to segment the image to identify objects. The objects are then used to form candidate markers which are examined for several criteria. Potential markers are then sampled and guide information present in the marker is used to verify the data. The algorithm is invariant to scale and rotation and is robust to motion blur and varying illumination.-This is an OPENCV based project. Here we are implementing the algorithm that uses adaptive methods to segment the image to identify objects. The objects are then used to form candidate markers which are examined for several criteria. Potential markers are then sampled and guide information present in the marker is used to verify the data. The algorithm is invariant to scale and rotation and is robust to motion blur and varying illumination.
Platform: | Size: 259072 | Author: NayAlteia | Hits:

[matlabSGM

Description: 用于解决视频质量诊断系统中的模糊检测模块,使用的是图像的梯度模特征,获取先验值后,检测效果还不错-Video quality diagnostic systems used to solve in the blur detection module, using a gradient mode feature of the image, after obtaining a priori value detection results were good
Platform: | Size: 1024 | Author: 胡鹏程 | Hits:

[Special EffectsSVD

Description: 用于解决视频质量诊断系统里的模糊检测模块,使用的是图像的奇异值特征,获取先验值后检测效果还不错-Video quality diagnostic systems used to solve in the blur detection module, using singular value feature of the image, after obtaining a priori value detection results were good
Platform: | Size: 215040 | Author: 胡鹏程 | Hits:

[AlgorithmCamera-Noise-Model-Based-Motion-Detection

Description: Camera Noise Model-Based Motion Detection and Blur Removal for Low-lighting Images with Moving Objects
Platform: | Size: 146432 | Author: Stud | Hits:

[Graph programblur-detection

Description: 检测图像模糊的算法代码,具体说明详见readme(Fuzzy image detection algorithm code, specific instructions, see readme)
Platform: | Size: 543744 | Author: 星期四和大王 | Hits:

[Special EffectsEdge-Detection-master

Description: This project is about detecting edges using canny edge detector. The canny edge detector is implemented from scratch using c++. Steps involved in creating a canny edge detector: STEP 1: smoothen the image using gaussian blur. STEP 2: Use differential operator to find the magnitude and direction of every edge pixel. STEP 3: Non maximal supression or Thinning is done. Here the thick edges are supressed into thinner ones. STEP 4: Hysteresis Thresholding: Two thresholds are selected. pixels lower than the lowT will become zero. pixels higher than the HighT will become one. The candidate pixels will become one if they can be linked to any one of the strong pixel.
Platform: | Size: 5120 | Author: 穿山甲说 | Hits:
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