搜索资源列表
Blur-Detection-Using-Wavelet
- 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.
ImageProcessSys
- 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
ImageProcessing5
- 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
baseimagpro
- 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
com
- 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,
CannyEdgeDetector
- 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
imgprocCGsignalproc
- 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
HWT
- 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
circle-center-fast-accurate-locating
- 摘要：针对SIFT算法在圆心检测应用中的特点，分析了SIFT算法中存在的冗余步骤，提出对其进行简化改进： 估计圆心所在的金字塔层，删减金字塔中多余的层数建立，并且通过提高滤除低对比度特征点阈值的办法减少 背景特征点的生成，去掉了特征点辅方向分配和建立辅方向特征点这一步骤。分别对计算机模拟生成的标准 圆和实际的PCB定位标志图像做了圆心检测实验，实验表明，SIFT算法改进后在没有降低其定位精度及对图 像的模糊、光照、仿射等变换适应性的情况下，大大缩短了检测时间，提高了检测效率。
Copy-Detection
- 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 principl
ImgWizard
- 代码涉及了二值处理方面的功能、边缘检测、翻转、旋转、缩放、模式转换、模糊、锐化、调整、杂色、视频、锐化、像素化、自定义等模组功能. 算法的代码核心部分全部是用ASM实现的，没有用MMX和SSE指令-The code involves a two-value processing function, edge detection, flip, rotate, zoom, mode conversion, blur, sharpen, adjust, variegated, video, sharp
yundongmohukongyufangxiang
- 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
abnormalhue
- 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
motion-blur
- 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.
DETECTION-AND-DECODING-OF-QR-CODE
- 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 m
SGM
- 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
SVD
- 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
Camera-Noise-Model-Based-Motion-Detection
- Camera Noise Model-Based Motion Detection and Blur Removal for Low-lighting Images with Moving Objects
blur-detection
- 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)
Edge-Detection-master
- 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