This article presents an optimized method for erosion and dilation operations in binary mathematical morphology.
详细介绍了一种二值数学形态学腐蚀膨胀运算的优化实现方法。
A more powerful tool for binary image processing, logical function morphology, is proposed.
提出了用于二元图像处理的逻辑函数形态学的概念。
In this paper, a method and algorithm of skeleton extraction based on binary mathematical morphology is presented.
本文基于二值数学形态学，建立了数字图像骨架提取方法，并给出了相应的算法。
In this paper, the emphasis is the segmentation application of mathematical morphology to binary cell's image and gray-scale cell's image.
本文重点研究了数学形态学在二值细胞图象和灰度细胞图象分割处理中的应用。
Finally, morphology processing was performed on the binary image obtained from the previous step to get the segmentation result.
对得到的二值图像进行形态学处理，得到完整的分割结果。
The whole process is the morphology processing based on the gray-level image and binary mask, and is simple and easy to implement.
整个过程基本是对灰度图像和二值模板的形态处理，简单易行。
This new algorithm USES the background subtraction method to get the foreground image, and then gets the binary image using threshold value and makes the morphology processing.
该算法利用背景差法获得前景图像，然后进行二值化和形态学处理，再和背景帧进行比较来对滞留和搬移物体进行检测和分类。
According to the blob area distribution the improved morphology operation was put forward to remove small blob in the binary images.
针对二值图像中的细小团块问题，根据团块面积分布情况，利用改进后的形态学方法去除细小团块。
This paper presents algorithms and applications of acquiring skeleton of binary image and completely or partially reconstructing binary image from its skeleton using mathematical morphology method.
给出了用数学形态方法获取二值图象骨架，及利用骨架完全或部分重建图象的算法和实例。
Firstly, gray image changed into binary image. Then, noise and stub burr is removed by using basic operation of mathematical morphology-dilation and closing operation.
首先对灰度图进行二值化处理，然后利用数学形态学的基本运算——膨胀运算和闭运算对二值图进行消噪及去毛刺处理。
Firstly, gray image changed into binary image. Then, noise and stub burr is removed by using basic operation of mathematical morphology-dilation and closing operation.
首先对灰度图进行二值化处理，然后利用数学形态学的基本运算——膨胀运算和闭运算对二值图进行消噪及去毛刺处理。
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