英语翻译The Canny edge detection is a relatively new edgedetection operator,it has a good edge monitoringperformance and it has been more and more widely used inimage processing.The Canny Operator has excellentperformance while detecting the step

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英语翻译TheCannyedgedetectionisarelativelynewedgedetectionoperator,ithasagoodedgemonitoringperformancean

英语翻译The Canny edge detection is a relatively new edgedetection operator,it has a good edge monitoringperformance and it has been more and more widely used inimage processing.The Canny Operator has excellentperformance while detecting the step
英语翻译
The Canny edge detection is a relatively new edge
detection operator,it has a good edge monitoring
performance and it has been more and more widely used in
image processing.The Canny Operator has excellent
performance while detecting the step edges.But the
detection threshold is fixed; it is likely to lead to smooth out
some edges while detecting the images with fuzzy edges.
Therefore,in order to detect the target boundary more
accurately,image preprocessing is needed,first divide the
image into several sub-images,and then select different
threshold for each sub-image according to its actual situation,
and dynamic threshold dividing is processed for the image
according to the threshold selected for each sub-image.
According to the actual application,it is needed to adjust the
image size to gain the necessary size; it should be a feasible
option.The Canny Operator is one of the best operators for
detecting step edges in the first order differential,it is better
than the Prewitt,Sobel and Laplacian Operator minimum
algorithm in the denoising ability,the shortfall is that it is
likely to smooth some edge information.

英语翻译The Canny edge detection is a relatively new edgedetection operator,it has a good edge monitoringperformance and it has been more and more widely used inimage processing.The Canny Operator has excellentperformance while detecting the step
Canny边缘检测的是一个相对较新优势
检测算子,它具有良好的边缘监测
性能和已越来越广泛地应用于
图像处理.在Canny算子具有良好的
性能,同时检测步骤边缘.但是,
检测阈值是固定的,它有可能导致理顺
而一些边缘检测的图像模糊边缘.
因此,为了发现目标边界更多
准确,图像预处理是必要的,第一次分裂
图像分成若干子图象,然后选择不同
阈值为每个子图像根据其实际情况,
和动态阈值分割是图像处理
根据阈值选定为每个子图像.
根据实际应用,这是需要调整
图片大小,以获得必要的规模,它应该是一个可行的
选项.在Canny算子是最好的经营者
边缘检测步骤中的一阶差分,这是更好的
比普鲁伊特,Sobel算子和Laplacian算子的最低
算法中的去噪能力,短缺是,它是
可能会顺利一些边缘信息.
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