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自己关于TVL1方法的改进 用来去除人脸上面的光照得到人脸的纹理图像，对于光照下人脸识别有相当大的作用。也可以用来定位,Their own methods to improve on TVL1 people face to face to remove the light to be Face of texture images, for face recognition under illumination a significant role. Can also be used to pos
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本人自己开发的一个人脸检测程序，实现人脸的精确检测，可检测人脸的轮廓，有效去除了背景干扰，对环境依赖行小，希望对做人脸检测的朋友们有所帮助是Dll的-this source code is about face detection which is developed by myself, it achieve the accurately face detection. it can detect the contour of face, and can remove the backgrou
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Demo to remove illumination component by homomorphic filtering.
Some functions used here require Image Processing Toolbox and Signal
Processing Toolbox- Demo to remove illumination component by homomorphic filtering.
Some functions u
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It is image enhancement using the homomorphic filtering process. here we are going to remove the low frequency components which are nothing but the illumination components.hence enhancing the only the reflectance components.-It is image enhancement u
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图像中汽车牌照定位的准确与否,直接关系到自动车牌识别系统的整体性能.考虑由于时间和气候光照特性不同造成车牌图片清晰度的明显差异,提出一种新的自适应动态阈值车牌定位的算法.该方法首先分析图像的清晰度,将图像的白点数固定在一个与差分均值成正比的比例值内.然后,去除离散噪声.针对车牌区域的行和列有不同的特征,用不同的方法进行车牌横向和纵向区域的精确定位,最终找到目标车牌区域.实验显示,该方法对车牌定位的准确率达到98.7 -Image vehicle license positioning accur
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可以去除不均匀光照、噪声的预处理算法，利用双边滤波和中值滤波的优势。-You can remove the uneven illumination, noise preprocessing algorithm, taking advantage of bilateral filtering and median filtering.
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Matlab图像灰度均衡处理，以消除不均匀照明，提高对比度-Matlab image grayscale equalization to remove uneven illumination, improve the contrast
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利用多尺度高斯函数去除场景的光照分量；然后构造了一种二维伽马函数，利用光照分量的分布特性调整二维伽马函数的参数，降低光照过强区域的亮度值，提高光照过暗区域的亮度值，最终实现对光照不均匀图像的自适应校正处理。(The multi scale Gauss function is used to remove the illumination component of the scene, and then a two-dimensional gamma function is constructed
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