1) fuzzy morphological operators
模糊形态学算子
2) fuzzy mathematical morphology
模糊形态学
1.
Adaptive multi-directions algorithm of fuzzy mathematical morphology for edge detection
自适应多方向模糊形态学边缘检测算法
2.
A New Multi-Directions Algorithm for image Edge Detection Based on Fuzzy Mathematical Morphology
一种新的多方向模糊形态学边缘检测算法
3.
Based on the detailed analysis for current approaches,a method based on fuzzy mathematical morphology was advanced for image segmentation in this paper.
提出了一种基于模糊形态学和形态分水岭算法的图像分割方法,先利用模糊形态学闭开运算平滑原始图像,再通过形态分水岭变换实现图像分割。
3) fuzzy morphology
模糊形态学
1.
Mathematical morphology firstly handled binary images as sets and probed them with a structuring element which formed binary morphology and then gradually formed gray-scale morphology,soft morphology,fuzzy morphology,fuzzy soft morphology and morphological wavelets.
阐述数学形态学的产生及其与图像处理的结合过程,讨论其由二值形态学、灰度形态学、软形态学到模糊形态学、模糊软形态学、形态小波的发展,分析了数学形态学在图像处理中的发展趋势并对其应用前景进行探讨与展望。
4) fuzzy morphological operation
模糊形态运算
1.
In this article,the fuzzy set theory is introduced into morphological operations,and fuzzy morphological operations as well as their membership functions that can process fuzzy data are proposed.
该文把模糊集理论引入数学形态学,提出能处理模糊数据的模糊形态运算,并给出模糊形态运算的隶属函数,使传统的数学形态学能够处理模糊数据且容易在计算机上实现。
5) fuzzy mathematical morphology
模糊数学形态学
1.
In this paper, a new definition of fuzzy mathematical morphology based on the logic of triangle norm and triangle conorm is presented.
模糊数学形态学是由模糊逻辑和数学形态学相结合而产生的一种新理论，是模糊信息处理方法的一个重要发展。
6) morphological operator
形态学算子
1.
This paper analyses the morphological operator,and thus puts forward the chromatic aberration waters feature extraction strategy based on the morphological transf.
本文在分析形态学算子特点的基础上,提出了基于形态学变换色差的水域特征提取策略。
2.
In this paper, an approach to process the grayscale image is presented, and a kind of grayscale morphological operator is constructed that allows to enlarge its practical capability.
文中从形态学算子构造的角度出发 ,提出了一种具有较强实用能力的灰度形态学算子的构造方
3.
First the elective zones of vehicle plate were acquired by morphological operator, and the large and small regions were eliminated; then the corners of reserved regions were detected and clustered by using Trajkovic arithmetic.
首先利用形态学算子获取车牌的候选区域,剔除较小的和较大的区域;对保留的候选区域利用Trajkovic算法获取角点;最后对检测后的结果聚类,从而分割出包含车牌区域的子图像。
补充资料：几何学模糊度
几何学模糊度
放射学术语。由X线管有效焦点大小，即由几何投影因素所产生的照片模拟、影像边界的不锐利程度，又称半影。几何学模糊度(Hf)是X线成像技术中影像模糊的最主要成因。几何模糊度与有效焦点(F)成正比，与物-片距(c)成正比，与靶-物距成反比。若用公式表示，几何学模糊度的值为：Hｆ=〓〓ｃ〓〓ｂ-ｃ〓〓F(b代表靶-片距)。焦点的大小对产生影像半影的关系很大，用小焦点或微焦点可提高照片的清晰度。例如，放大摄影时C值增加，若用小焦点X线管投照则可弥补由于物-片距增加而增加的几何学模糊度。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条