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opencv 图像的二值化，包括局部阈值，全局阈值，自适应阈值法，对初学者帮助很大-opencv image binarization, including the local threshold, the global threshold, adaptive threshold, very helpful for beginners
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固定阈值二值化和自适应局部阈值二值化对比分析，opencv实现-Fixed threshold value and adaptive threshold binarization comparative analysis, opencv implementation
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在进行图像处理时，要对图像二值化时自适应选取合适的阈值。-During image processing, binary image to adaptive selection when the appropriate threshold.
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OPENCV做的自适阀值车牌定位完整源代码-Adaptive threshold OPENCV do full source code license plate location
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集中常用阈值方法的比较
自适应阈值法 最大阈值法 等的简单比较-Centralized common threshold comparison of adaptive threshold method maximum threshold method simple comparison
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opencv实现的自适应阈值分割 平台是VS2010 已经编译成功-opencv achieve adaptive threshold segmentation platform is the VS2010 has been compiled successfully
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canny算子结合ostu自适应阈值调整，用于边缘提取，-ostu canny operator combines adaptive threshold adjustment for edge detection,
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一种基于自适应阈值的先进火焰颜色算法，根据不同亮度情况选取不同模型，效果非常好。-An algorithm based on advanced adaptive threshold flame color, depending on the brightness select a different model, the effect is very good.
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这是一个人手识别程序，基于OpenCV，环境VisualStudio2013。
首先通过图片采集手势图像，而后进行减小噪声的滤波处理，根据肤色在YCrCb色彩空间中的自适应阈值对图像进行二值化处理，提取图像中所有的肤色以及类肤色像点，而后经过膨胀、腐蚀处理后，祛除小块的类肤色区域干扰，得到若干块面积较大的肤色区域；此时根据各个肤色区域轮廓特征进行甄选，获取目标手势区域，而后根据目标区域的特征进行识别，定位手心。-This is a staff recognition program, bas
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基于OpenCV的图像二值化程序，可自适应阈值-OpenCV based on the image of the two value of the program, the adaptive threshold
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这是对上次自适应阈值方法的改进，这是后来找到的-This is the last time adaptive threshold method of improvement, which is later found
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运用自适应阈值的车型识别代码，非常简单实用，经过验证可以使用-Using an adaptive threshold model identification code, very simple and practical, it can be verified using
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这是VS2013上Opencv3.0的C++的一段能够使得canny算子自适应上下限阈值的源码-This is VS2013 Opencv3.0 on c++ a can make the canny operator adaptive upper and lower threshold of the source code
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opencv图片先灰度化，然后自适应阈值把图片变为黑白双色（二值化）。输出纯黑白图片(opencv The image is grayscale first, and then the adaptive threshold turns the picture into black and white (two value). Output pure black and white pictures)
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