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该算法利用opencv实现图像的对比度增强，效果比较明显。,Opencv implementation of the algorithm using images of contrast enhancement, more visible results.
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OpenCV的图像处理例子，主要功能有图像增强，图像翻转等,OpenCV image processing example, the main functions of image enhancement, image flip, etc.
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VC+opencv 实现建筑物梯形畸变校正 radon变换 sobel边缘检测 直方图均衡图像增强 radon直线检测 仿射变换等算法-VC+ opencv trapezoidal distortion correction to achieve the building radon transform sobel edge detection image enhancement histogram equalization radon affine transform line detecti
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中值滤波是图像增强常用的方法，这是用VC++实现的数字图象中值滤波处理程序-Median filter is commonly used methods of image enhancement, it is VC++ Realized digital image median filtering process
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图像的LOG变换例子，在很多需要图像增强的场合可以使用，开发环境VC+OPENCV-LOG transform the image example, in many occasions the need for image enhancement can be used to develop the environment VC+ OPENCV
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visual c++下用opencv实现的图像增强-visual c++ using opencv achieved under the Image Enhancement
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Python opencv image enhancement in frequency domain. DFT , inverse DFT , highpass , lowpass filter
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opencv+mdi实现，包含数字图像处理基本几何变换，以及fft，ifft，kmeans和形态学处理、直方图均衡化、伪彩色增强、指数增强等操作。-opencv+ mdi implementation, including basic geometric transformation of digital image processing, and fft, ifft, kmeans and morphological processing, histogram equalization, ps
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OPENCV下针对IplImage实现图像增强处理
-Under OPENCV Image enhancement for the IplImage
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基于opencv的提升5/3小波变换和逆变换-Opencv-based enhancement of 5/3 wavelet transform and inverse transform
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OpenCV统计应用-影像增强,亮度,对比实作-OpenCV Application of statistics- image enhancement, brightness, contrast implement
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opencv对于图像增强的处理算法，快捷好用-opencv for image enhancement processing algorithms, quick and easy to use
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opencv的很多实例程序，包括图像增强，图像分割，压缩，以及各种图像变换等-opencv many instances of the program, including image enhancement, image segmentation, compression, as well as a variety of image transformation
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OpenCV 基于Laplacian算子的图像边缘增强-OpenCV based Laplacian operator image edge enhancement
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ultra image enhancement based on OpenCV in Linux using Eclipse development tools
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Retinex理论的基础理论是物体的颜色是由物体对长波（红色）、中波（绿色）、短波（蓝色）光线的反射能力来决定的，而不是由反射光强度的绝对值来决定的，物体的色彩不受光照非均匀性的影响，具有一致性，即retinex是以色感一致性（颜色恒常性）为基础的。不同于传统的线性、非线性的只能增强图像某一类特征的方法，Retinex可以在动态范围压缩、边缘增强和颜色恒常三个方面打到平衡，因此可以对各种不同类型的图像进行自适应的增强。-The basic theory of Retinex theory is
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OpenCV统计应用-影像增强,亮度/对比实作。这边就修改了OpenCV的Sample Code,来做色彩增强的亮度/对比的程序,而在一般的亮度/对比来讲亮度(Brightness)的范围为0~200而对比(Contrast)亦是0~200,它们由一条线性函数的公式所定义,对比所代表的是斜率,亮度则是偏移量-OpenCV statistical applications- image enhancement, brightness/contrast implementations. Here o
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利用OpenCV实现图像的直方图均衡化，并绘制直方图-Use OpenCV to achieve image histogram equalization，and draw a histogram
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使用opencv和vs2010实现图像对比度增强，代码完整，可以运行(Use OpenCV and VS2010 to achieve image contrast enhancement, code integrity, you can run)
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中值滤波、soble算子和拉普拉斯锐化；以及掌纹增强图（掌纹图需自己准备）(Median filtering, Soble operator and Laplasse sharpening; and palmprint enhancement diagrams (palmprint drawings need to be prepared for themselves))
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