介绍利用阶跃滤波器实现二值图像边缘增强的光学方法。
This paper deals with a optical method of edge enhancement of the binary image using the step filter.
提出了用于提高X射线光刻对准系统自动对准效率和对准精度的图像边缘增强技术,并进行了数值分析。
The image edge-enhanced technique was proposed to improve the automatic aligning efficiency and aligning accuracy in the X-ray lithography aligning system, and the numerical analysis was given.
制作简单,且可连续控制边缘增强图像的对比度。
It can be made easily and the contrast of edge enhanced images can be controlled continuously.
光学图像微分(边缘增强)是光学信息处理中突出信息的一种重要方法。
Optical image differentiation (edge extraction) is an important method of stand out the information in optical image processing.
通过对自适应形态学边缘增强方法的改进,使得二值化结果有效地保留了红外图像的边界特征,是一种有效、实用的图像二值化方法。
The clear edge of the binary result by improving the morphologic edge enhancement method is got. The results show that it is a valid and practical image binarization method.
在改进的边缘检测算法中,本文运用梯度算法对图像进行边缘增强,然后应用最佳阈值算法与形态学方法,取得较好的分割效果。
We use gradient algorithm to enhance cell borders in improving the edge detection algorithm. We achieve a better result through application adaptation threshold algorithm and mathematical morphology.
在改进的边缘检测算法中,本文运用梯度算法对图像进行边缘增强,然后应用最佳阈值算法与形态学方法,取得较好的分割效果。
We use gradient algorithm to enhance cell borders in improving the edge detection algorithm. We achieve a better result through application adaptation threshold algorithm and mathematical morphology.
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