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车牌识别C++Builder代码，首先要把车牌图像灰度化，接着对图像进行中值滤波进行初步降噪，下一步进行Sobel纵向边缘检测，即增强车牌纵向边缘，边缘检测后进行二值化处理，此时车牌区域特征得到进一步加强，但同时又加强了背景中的部分噪声，所以再对其腐蚀，然后定位及截取车牌，最后对车牌进行二值化。
-LPR C Builder code, first and foremost, we should plates gray, Then the image median filtering for
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An adaptive Gaussian filter for noise reduction and edge detection
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This paper presents a real-time defect detection
algorithm for high-speed steel bar in coil. Because the target speed is
very high, proposed algorithm should process quickly the large
volumes of image for real-time processing. Therefore, defect
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源码1：实现对图像平滑处理。比如噪声消除(二什图像的黑白点噪滤除；消除孤立黑像素点)；邻域平均
法；中值滤波；加噪等。
源码2：对图像进行阈什分割和轮廓提取。
源码3：进行图像的合成。
源码4：图像的变换域处理
源码5：锐化及边缘检测
源码6：灰度变换
motiondetect1：基于OpenCV 运动检测(摄像头或.avi)-Source 1: Implementation of image smoothing. Such as noise reduction
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SUSAN角点检测算法经典文献
This paper describes a new approach to low level image processing in particular, edge and corner
detection and structure preserving noise reduction.
Non-linear filtering is used to define which parts of the image are closely rel
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SURF角点检测
This paper describes a new approach to low level image processing in particular, edge and corner
detection and structure preserving noise reduction.
Non-linear filtering is used to define which parts of the image are closely related to
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程序中包含了各种图像预处理的算法，去噪，边缘检测，分割等等，对于图像处理的初学者和科研人员都要很大的实用性-Program includes a variety of image preprocessing algorithms, noise reduction, edge detection, segmentation, etc., for the image processing for beginners and researchers have great practical
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小波变换在图像边缘检测和降噪中的应用,小波变换在图像边缘检测和降噪中的应用,-Wavelet transform in image edge detection and noise reduction
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主要讨论获得图片后如何提取其边界信息,首先利用图像灰度均匀化解决了对比度不清晰的问题,然后利用高斯滤波法对图片进行滤波去噪,进而利用Canny算法实现边缘检测提取边界,该方法与Matlab自带的求边界方法有明显的提高,为利用Matlab程序求图像分形维数提供了更精确的前提. 更多还原
-Mainly discuss how to get the picture after extracting its boundary information, the first use of the im
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