-
The algorithms of morphological operators and label watershed segmentation based on the mathematical morphology were put forward to resolve the problem of the light occluding of dibbling crop leaves.
针对玉米等点播作物田间场景中植物叶片交叠问题,研究基于数学形态学的形态算子分割算法和标记分水岭分割算法。
-
The paper illustrates the precision of image processing by means of mathematical morphology, and discusses Householder matrix decomposing method and its application to keep the numerical stability.
本文利用数学形态学探讨了图像处理的精度,并论述了豪斯荷尔德矩阵分解法在确保求解数值稳定性中的作用。
-
Based on mathematical morphology and grille fractal, a novel approach on power quality ( PQ ) disturbance detection and location is presented in this paper.
提出一种基于数学形态学和网格分形的电能质量扰动检测及定位方法。
-
A novel anomaly detection algorithm based on the theory of extended mathematical morphology and spectral similarity measurement is proposed for hyperspectral imagery.
提出了一种新型的基于扩展数学形态和光谱相似度测量的高光谱图像异常检测方法。
-
The clustering problem of typic sample distribution is solved with the algorithm similar to that of digital image process with mathematical morphology.
通过建立一个与数学形态学应用于数字图象处理方法类似的算法来解决一般样本分布的聚类问题。
-
Mathematical morphology is an important element of digital image processing, and it provides for the realization of image processing very powerful method.
数学形态学是数字图像处理当中的一个重要内容,它为图像处理的实现提供很有力的方法。
-
With mathematical morphology principles, a new edge detection algorithm for remote sensing images based on multi-element is presented in this paper.
利用数学形态学原理,提出了一种基于多结构元素的遥感图像边缘检测方法。
-
A fast mathematical morphology - based approach is developed to transmit the pre - segmentation result where interpolation becomes unnecessary.
在细尺度上提出了一种局部活动轮廓优化模型,定义了新的基于局部亮度的目标函数.
-
Based on mathematical morphology, a new algorithm of 3D spatial clustering was presented, which clustered spatial objects by closure operation.
提出了一个基于数学形态学的三维空间聚类算法。
-
In order to get the precise Overprint error, a new Algorithm of the detection based on mathematical morphology is proposed.
为了精确检测套印偏差,提出一种基于数学形态学的偏差自动检测算法。
数学形态学(Mathematical morphology) 是一门建立在格论和拓扑学基础之上的图像分析学科,是数学形态学图像处理的基本理论。其基本的运算包括:腐蚀和膨胀、开运算和闭运算、骨架抽取、极限腐蚀、击中击不中变换、形态学梯度、Top-hat变换、颗粒分析、流域变换等。