本文提出了一种多方向模糊形态学边缘检测算法。
This paper introduces a multi -directions algorithm for image edge detection based on fuzzy mathematical morphology.
本文利用数学形态学在描述灰度图像方面的优势，将灰度形态学边缘检测法运用到彩色图像中。
This paper makes use of the advantages of mathematical morphology which describes gray image, to implement the gray morphological edge detection in the color images.
通过编写程序实现上述方法，并比较传统边缘检测算法与基于数学形态学边缘检测方法的结果。
Then the edge is detected by erodent algorithm. All results of those algorithms are deduced by the program of computer.
数学形态学边缘检测器能克服线性边缘检测器的一些缺点，但是存在宽边缘，导致边缘分辨率较低。
Morphological gradient is a nonlinear edge detector that can overcome the some drawbacks of the linear edge detector. Wide edges detected by morphological gradient cause the low edge resolution.
在介绍适用于灰度图像的柔性形态学概念及特性的基础上，结合红外舰船图像实例，用MATLAB实现了灰度图像的形态学边缘检测。
The authors introduced the basic concepts and properties of soft mathematical morphology applicable to gray-scale image and performed edge detection processing for the IR image of a ship by MATLAB.
结合数学形态学、塔型数据结构及模糊技术，提出一种新的非监督多分辨率边缘检测方法。
A new unsupervised multiresolution edge detection technique was presented, which combines the morphological filtering, pyramid data structure and fuzzy technique.
文章给出了MATLAB实现的主程序，列出了一些柔性形态学处理和传统边缘检测处理的结果。
The main program of MATLAB is presented and some processing results based on edge processing of the soft morphology and traditional methods are listed.
第三部分分别使用小波分析和数学形态学进行了数字图象边缘检测，并将两者的检测结果进行了对比，得出了各自的适应条件和优劣之处。
The third part USES wavelet analysis and Mathematical Morphology to detect the image edge, and contrasts the two results, we have gotten respective apply condition and good or evil.
本文用数学形态学的理论，提出了一种新的灰度图象边缘检测算法。
This paper applies mathematical morphology theory to present a new algorithm for grey scale image edge detection.
利用方向边缘检测、方向数学形态学方法和拟态流水侵蚀法得到了较好的完整图形闭合外边界。
By using this method consisting of directional edge detection, directional mathematical morphological method and mimesis watering corrosion method, a better close outside boundary was obtained.
研究了多种目标提取的数学形态学算法，包括击中与击不中变换、边缘检测与形态学梯度等。
Various algorithms of mathematical morphology are researched, they include hit or miss Transformation, edge detection and morphological grads, etc.
提出一种基于多结构元素的数学形态学图像边缘检测算法。
Based on mathematical morphology of multi-structure element, an algorithm of image edge-detection was proposed.
文章介绍边缘检测算子的原理与优缺点，并将形态学方法与细胞图像分割结合。
The article introduces the advantages and disadvantages of the edge detection and applies mathematical morphology into cells image segmentation.
提出一种基于分形理论和数学形态学的边缘检测方法。
This paper proposes a method for edge detection of image based on fractal theory and mathematical morphology.
针对这一问题，提出了一种基于形态学梯度的信号噪声分离算法，通过检测信号的边缘实现信号噪声分离。
To solve this problem, this paper proposed a signal noise separation algorithm based on morphological gradient to separate signals from background noise by detecting edges of signals.
针对超速车辆抓拍图像的特点，以数学形态学为理论基础，进行边缘检测区域选取。
According to the characteristics of vehicle image speeding, with tapes of mathematical morphology based on edge detection, regional selection.
利用软数学形态学中基本算子构造了一种新的边缘检测器，并将其用于医学图像的边缘检测。
A new edge detector is constructed by using the basic operators in soft mathematical morphology and it is applied to detect the edges of medical images.
该文作了基于数学形态学的图像边缘检测算法的研究。
The paper discusses the algorithm of edge detection based on mathematical morphology.
简要介绍了软数学形态学的基本原理及形态学在图像边缘检测中的应用。
The soft mathematical morphology, which can be applied to detecting edge of image, is introduced.
提出了一种新的基于模糊形态学的边缘检测算法。
A new algorithm of fuzzy mathematical morphology for image edge detection is proposed.
提出一种用迭代算法求图像分割最佳阈值和运用数学形态学的腐蚀算法实现轮廓提取相结合的细胞图像边缘精确检测算法，并给出仿真实例。
A new accurate edge detection method obtaining the best threshold of image segmentation based on iterative arithmetic and abstracting edge by eroded arithmetic of mat.
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.
本文提出采用数学形态学和线形广义模糊算子相结合的方法检测肿瘤边缘，再根据检测结果得到的肿瘤部位轮廓计算肿瘤大小。
This paper presents a new method, which detects the edge of tumour by adopting mathematical morphology and linear general fuzzy operator.
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.
结果各种边缘检测算子获得不同的结果，经对比讨论后，可见使用数学形态学方法的结果较好。
Results Through comparing different methods of edge detection morphology edge detection seems to have better result.
在此基础上利用改进形态学算子的多尺度运算定义了一种新的边缘检测算子。
And then a new edge detector is defined by using the multi-scale operation of the modified morphological transform.
在此基础上利用改进形态学算子的多尺度运算定义了一种新的边缘检测算子。
And then a new edge detector is defined by using the multi-scale operation of the modified morphological transform.
应用推荐