在利用改进的SUSAN算子进行亚像素角点检测时，综合应用了索贝尔边缘算子、灰度平方重心法等方法。
Sobel operator and gray square centrobaric arithmetic were synthesized with the improved SUSAN operator in subpixel corner detection.
然后利用微观检测算子检测出微小型零件的边缘点；
The second step is to detect the edge point by microcosmic operator.
提出了改进的广义模糊算子(GFO)边缘检测新方法。
A new method for edge detection with improved General Fuzzy Operator (GFO) is proposed.
并根据原木的CT图像对各种算子进行边缘检测试验，从中找出比较适合原木ct图像的边缘检测。
Using the different operators do the edge detecting, found out the suitable edge detect operator for the ct image of the log.
传统的边缘检测算子一般都只能得到比较宽的边缘，这为以后的图像处理带来了一定的困难。
The traditional image edge detection operators can only get very wide edges usually, which makes it difficult for the later image processing.
提出了一种二次反锐化掩模算子(QUM)，用于从图像中提取等比重的边缘和细节信息。
A quadratic unsharp masking (QUM) operator is presented, which extracts edge and detail information from an image with equal weights.
试验结果表明，利用SOBEL边缘检测算子进行数字图像的边缘检测和提取其效果比较理想。
The result of experiment indicate that it is relatively effective for SOBEL operator to realize digital image fringe detecting and picking up.
基于经典边缘检测算子在抗噪声干扰方面存在不足。
To overcome the drawbacks of the traditional edge detection operators in anti-noise interference.
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.
首先提出了一种基于标准差的梯度算子，将图像中潜在的边缘区域很好地区分出来；
Firstly, a gradient operator based on local standard deviation is performed and potential edge regions are well separated.
对LOG算子边缘检测方法的性能进行了分析和评价。
The capability of edge detection using LOG operators is analyzed and evaluated in this paper.
在最优滤波器理论基础上，推导出离散域的最优平滑算子，抑制了图像的分割错误、噪声和伪边缘的影响。
The smooth operator is inferred based on the Optimal Discrete Filter's theory, which can reduce the influence of noise, false edges and image error.
重点探讨了边缘检测窗口和算子对测长系统的影响。
The influence of edge detection area and operators on length measurement and control system is mainly discussed.
论文主要阐述图像的边缘检测的算子、不变矩的特征值提取和车型的特征匹配。
This thesis expounds the match among edge detection of image, characteristic value selection of moment invariants and characteristic of vehicle mold.
并在熵算子的基础上，提出了一种基于边缘采样和阈值曲线分析的双阈值选择方法。
A new method of threshold choosing based on edge sampling and entropy curve analysis is brought forward in the algorithm of entropy.
广义模糊算子法是一种用于图象边缘检测的全新而有效的方法。
Generalized Fuzzy Operator (GFO) is a new efficient algorithm for edgedetection of an image.
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.
不同的微分算子对边缘的敏感程度是不同的，如何选用适当的边缘检测算子得到准确的边缘信息，就成为断口图像处理的关键步骤。
Sensitivity is different for different differential operators, how to choose a suitable edge detection operator to obtain exact information of edge, is the essential step for fracture surface image.
将小波分析方法应用于图像边缘检测领域，小波分析的多尺度算子在抗噪声和保留图像边缘的能力上有比较好的效果。
By applying wavelet analysis method to image edge detection, multi scale operator of wavelet analysis functions well for noise resisting ability and picture edge reserving.
针对检测数字图像灰度梯度的最大值法，采用SOBEL边缘检测算子对数字图像进行边缘检测，并利用硬件(大规模可编程逻辑器件CPLD)实现了数字图像的边缘提取。
The article will contrapose maximum value method based on detecting image grey grad, and take example of SOBEL operator to realize digital image fringe picking up based on hardware (CPLD).
仿真结果表明：该方法去噪效果好，能提取图像中较弱的边缘，且边缘具有很强的连续性，明显优于传统的边缘检测算子。
The result of simulation shows that the method can detect weak edges which possess strong continuity and anti-noise property, also is superior to the traditional edge detection operators.
比较若干不同的边缘检测算子及二值化算法，讨论了其在车辆牌照识别中的应用。
In this paper, some different operators of edge detection together with some thresholding calculations were compared.
在进行图像边缘检测的实际应用中，应根据应用的需要对算子进行合理的选择。
In the practical application of edge detection, should select operator legitimately according to the application needs.
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.
为了预测微分算子边缘提取能达到的效果，从频域角度出发，分析了边缘检测中常用微分算子的频谱特性。
For the sake of predicting the detection effect of differential operators, the frequency features of common operators are analyzed from the view point of frequency domain.
首先介绍了坐标逻辑运算的基本概念，并就其在图像边缘检测方面的应用提出了一个新颖的利用多结构元进行边缘检测的非线性算子。
The basic concept of a coordinate logic is firstly introduced and a novel non-linear edge detector using multi-structure element is proposed for the application of edge detection.
传统的图像边缘检测算子一般都只能得到多像素宽边缘，这为后续的图像处理带来了一定困难。
The traditional image edge detectors can only get multiple-pixel-wide edges usually, thus it is difficult to operate by post-processing methods.
拉普拉斯算子的方法是在图像的二阶导数搜索零交叉来查找边缘。
The Laplacian method searches for zero crossings in the second derivative of the image to find edges.
拉普拉斯算子的方法是在图像的二阶导数搜索零交叉来查找边缘。
The Laplacian method searches for zero crossings in the second derivative of the image to find edges.
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