halcon中的local_threshold()算子根据局部阈值分割图像,算子接口如下: local_threshold(Image : Region : Method, LightDark, GenParamName, GenParamValue : ) Method目前只提供了adapted_std_deviation方法,即根据局部mask_size*mask_size窗口内的灰度标准差来计算当前像素点的分割阈值,分割阈值计算公式如下: 其中μ...
dyn_threshold (Image1, ImageMean, RegionDynThresh, 2, 'dark') *动态阈值分割 *参数1:输入图像 *参数2:滤波后图像(参考图),可以通过mean_image, binomial_filter, gauss_filter等滤波方式处理 * 滤波时注意掩码大小,它决定提取区域的大小 * 提取的就是滤波时被模糊的区域 *参数3:分割后区域 *参数4:灰度...
local_threshold— Segment an image using local thresholding.参数签名local_threshold(Image : 区域 : Method, LightDark, GenParamName, GenParamValue : )描述local_threshold segments a single-channel image Image using the thresholding method given in Method and returns the segmented region in 区域. ...
local_threshold (Image, Region,'adapted_std_deviation','dark', [], [])*局部阈值--适合不均匀照明-->渐变背景*参数1:输入图像*参数2:分割后的区域*参数3:分割方法'adapted_std_deviation'*参数4:提取前景还是背景 dev_display(Region) 在QtCreator中 HObject ho_Image, ho_Region; HTuple hv_Width, h...
dev_open_window (10, 10, Width, Height, 'black', WindowHandle) local_threshold (Image, Region, 'adapted_std_deviation', 'dark', [], []) *局部阈值--适合不均匀照明-->渐变背景 *参数1:输入图像 *参数2:分割后的区域 *参数3:分割方法 'adapted_std_deviation' ...
HALCON Website / HALCON Operator Reference / Segmentation / Threshold HDevelop .NET Python C++ C Operators local_threshold (Operator) Namelocal_threshold— Segment an image using local thresholding.Signaturelocal_threshold(Image : Region : Method, LightDark, GenParamName, GenParamValue : )...
halcon局部阈值分割算法实现详解算法概述接口解析local_threshold()函数halcon中的local_threshold()算子，用于基于局部阈值分割图像。接口定义如下：local_threshold(Image : Region : Method, LightDark, GenParamName, GenParamValue : )方法选择当前只支持adapted_std_deviation方法，通过局部mask_size*mask_...
local_threshold— Segment an image using local thresholding. Description local_thresholdsegments a single-channel imageImageusing the thresholding method given inMethodand returns the segmented region inRegion. Currently the operator offers only the Method'adapted_std_deviation'. This algorithm is a text...
dev_open_window (10, 10, Width, Height, 'black', WindowHandle) local_threshold (Image, Region, 'adapted_std_deviation', 'dark', [], []) *局部阈值--适合不均匀照明-->渐变背景 *参数1:输入图像 *参数2:分割后的区域 *参数3:分割方法 'adapted_std_deviation' ...