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。
This article presents an optimized method for erosion and dilation operations in binary mathematical morphology.
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, a method and algorithm of skeleton extraction based on binary mathematical morphology is presented.
对采集的道路图像中的障碍物进行边缘检测，其过程为：道路图像预处理、二值化、边缘检测和数学形态学处理。
The text does obstacle detection for the picked image. The process contains pretreatment, denary, lane detection and mathematical morphology in road image.
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。
According to the blob area distribution the improved morphology operation was put forward to remove small blob in the binary images.
在实现了二值形态学基本算子的基础上给出了边界象素优先处理的改进算法。
Realize two basic operators of binary image, and introduce an algorithm for image morphological processing based on breadth.
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。
In this paper, the emphasis is the segmentation application of mathematical morphology to binary cell's image and gray-scale cell's image.
提出两种改进的一般形态学相关算法，灰度图像按某种分解方法分解成一系列二值图像片。
Two kinds of modified general morphological correlation is studied. The gray-scale image is decomposed into a set of binary image slices in certain decomposition method.
对二值图像上出现的非目标物和目标物上的斑点，作者运用形态学方法进行了处理。
And mathematical morphological method was used to deal with the noises in binary image.
对处理后的图像二值化后，利用形态学算子对目标区域填充；
The image segmentation and filling processing were performed so that the target region could be perfectly extracted.
对得到的二值图像进行形态学处理，得到完整的分割结果。
Finally, morphology processing was performed on the binary image obtained from the previous step to get the segmentation result.
在获取分割后的二值化图像中，采用了形态学滤波算子进行去噪，然后利用二值图像投影变换，并参考石块底部阴影位置信息，辅助完成对部分场景下的石块识别和定位。
Binary image is filtered by utilizing morphological filter. Then, using the information of stone shadow and projection transform, detection and position of stone is utilized in part environment.
在二值化中采用局部自适应方法与传统的固定阀值方法作比较，细化中运用了数学形态学的方法，对指纹图像进行细化。
We compare local self-adaptive way with the fixed value in binarization, and use mathematical morphology method to thin image.
对图像分割得到的二值图像进行图像形态学处理和空域滤波处理，提高了二值图像的质量。
Then we use morphological image processing and spatial filter processing to improve the quality of binary segmentation image.
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.
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.
最后，对得到的二值图像进行形态学变换，得到精确的目标分割区域。
Finally, the threshold image was filtered by morphological filter and then accurate target region was obtained.
最后，对得到的二值图像进行形态学变换，得到精确的目标分割区域。
Finally, the threshold image was filtered by morphological filter and then accurate target region was obtained.
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