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搜索资源 - Uneven Illumination
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直接光是从光源出发,直接照射到物体表面,由于物体问的遮挡和光源照射范围等因素,直接光照变化非常剧烈,分布很不均匀。而间接光照是由直接光照射到物体表面后,经过多次反射、折射产生的,因此。每个方向都有来自环境的间接光照,而且在空间的分布比较均匀,没有剧烈的变化,属于光照中的低频成分。由直接光照和间接光照产生的物体表面的光照效果可以统一表示为-Just starting directly from the source, direct exposure to the surface, due to o
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niblack是一种局部二值化方法,对于光照不均的图像有较好的二值化效果。-niblack is a local binarization method.Compare with other global binarization method,it can get better result when illumination uneven.
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形态学图像处理,在人脸局部图像中定位嘴的中心,显微镜下图像的细菌记数,利用顶帽变换技术解决光照不均问题-Morphological image processing, positioning the center of the mouth in the face of local image, the bacterial count under the microscope images, the use of top-hat transformation technology to solve
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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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对光照不均匀的人脸进行预处理,运用对数变换和AT算法,得到较好的效果-Uneven illumination face pretreatment, good results
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光照不均问题使图像与处理的关键部分,进行直方图均衡化-So a key part of the problem of uneven illumination image and processing, histogram equalization
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本程序实现的是不均匀光照下的同态滤波,供初学者学习参考。-The program implementation is homomorphic under uneven illumination, for beginners learning reference.
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砂纸由于光照不均,处理时会产生很多噪声,此程序用于处理光照不均-Because of the uneven illumination sandpaper will produce a lot of noise when processing program for processing the uneven illumination
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改进的otsu算法,计算局部otsu的值确定局部小区域。对于光照不均匀图像处理有比较好的适应-
Improved otsu algorithm to calculate the value of the local otsu determine the local small area. For uneven illumination image processing has a relatively good adaptation
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A novel pixel gray stretch in wavelet domain and rapid image threshold segmentation
algorithm is proposed in view of the case that there is no visible double peak histogram in
uneven illumination image. Firstly
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it stretch the image gray a
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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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以YCgCr和YCbCr颜色空间为基础,分别建立了平行四边形模型和椭圆模型,采用光照补偿法对图像进行预处理,从而避免了光照不均对检测结果所造成的误差。-Based on the YCgCr and YCbCr color spaces, the parallelogram model and the ellipse model are established respectively. The image is pretreated by the light compensation metho
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retinex算法 用于解决光照不均图像 低照度图像增强(Retinex algorithm is used to solve the illumination enhancement of uneven illumination images)
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在图像照度不均匀的情况下,可以通过Gamma校正,将图像整体亮度提高或降低。在实际中可以采用两种不同的方式进行Gamma标准化,平方根、对数法。(In the case of uneven image illumination, the image brightness can be increased or decreased by Gamma correction. In practice, Gamma normalization, square root, and logarithmic
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通过压缩低频,扩展高频,减小图像的不均匀照度(Through the compression at low frequency, extended high frequency, reduce the uneven illumination of the image)
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用于光照不均匀的图像增强算法实现,包括相关函数的定义及调用,可直接运行。(Implementation of image enhancement algorithm for uneven illumination)
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光照不均匀图像增强,同态滤波,MATLAB代码,高斯高通滤波(image enhancement,Image enhancement of uneven illumination,Homomorphic filtering)
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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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