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To improve the segmentation effection and efficiency, we fulfill the following work:There is an obvious difference between General Fuzzy Operator and other edge detection which based on edge magnitude.

本文在提高图像分割质量和效率方面做了以下几个方面的工作:基于广义模糊算子法的图像边缘检测与其它基于边缘强度依靠导数的边缘检测法明显不同,具有计算量小,检测到的边缘精度高等特点,但是GFO算法中的关键参数需经验、人为确定,影响了该方法的检测效果,限制了其在实际中的推广应用。

In normal condition, the Sobel operator can be used to get the image edge.

通过对不同光照情况下的图像特征分析,提出了不同光照情况下的图像边缘检测算法:正常光照条件下采用Sobel算子进行边缘检测;弱光照条件时先用MSR(multi-scale retine)进行图像细节增强处理,再利用类别方差自动门限法得到图像边缘;强光照条件下通过灰度扩展,将所感兴趣的灰度范围放大得到图像的边缘。

The characters of different illumination conditions are studied and the corresponding algorithms of gray image edge detection are proposed. In normal condition, the Sobel operator can be used to get the image edge. When the illumination is faint, the image is first enhanced by the MSR, and then the variance threshold algorithm is employed. While the light is strong, the image edge can be got by gray expand. At last, the instance image is detected.

通过对不同光照情况下的图像特征分析,提出了不同光照情况下的图像边缘检测算法:正常光照条件下采用Sobel算子进行边缘检测;弱光照条件时先用MSR (multi-scale retine)进行图像细节增强处理,再利用类别方差自动门限法得到图像边缘;强光照条件下通过灰度扩展,将所感兴趣的灰度范围放大得到图像的边缘。

A pseudosphere-based edge detector is built by replacing the Gaussian filter in the classic Canny edge detector with the pseudosphere filter.

以伪球滤波器取代经典Canny 边缘检测算子中的高斯滤波器,得到一种基于伪球的边缘检测算子。

Because the characters of workpiece are mainly linear and circinal, Hough transform is adopted to gain the line and circle of workpiece in edge space which is detected by Canny edge detector.

针对工件的主要特征是直线和圆形的特点,在利用Canny边缘检测算子进行了边缘检测以提取工件的边缘特征之后,根据Hough变换原理在边缘空间中实现了工件的直线及圆特征的提取。

A new algorithm of low bit rate image compression was proposed. Firstly, the edge informations of the input image were detected with SUSAN operator, then the detected edge informations were en hanced with edge enhancement method. Finally, the enhanced edge informations were added to the decoded input image to form the final compressed image.

提出一种新的低比特率图像压缩算法,该算法首先利用SUSAN算子检测出输入图像的边缘信息,然后利用边缘增强方法对边缘信息进行增强,最后将增强后的边缘信息和解码后的输入图像相加形成最终的压缩图像。

The monitoring images were opened and closed using a circle structural element in morphological in the algorithm, and their edges were detected with Canny operator. With the transform analysis of the edges images, the linear characteristics of the edges of the empty-trains-images were outstood.

运用圆形结构元素对监控图像进行形态学的先开启、后闭合的操作,用Canny边缘检测算子来检测图像的边缘,并对边缘的图像进行变换分析,突出了空列车图像边缘的直线性质。

Digital image process technique is used in pantographic faults monitoring, and a new algorithm named window-edge tracking is proposed in this paper. Based on the binary image of edges which is detected by Canny operator, a window in proper size is set to track the discontinuous edges to estimate the position of the lost edges. With this method continuous edges will be obtained, and continuous and smooth edges will be got after least-squares curve-fitting.

中文摘要:将数字图像处理技术应用于受电弓故障监测,提出一种新型的窗口边缘跟踪算法,在采用Canny算子计算出边缘二值图的基础上,设置适当大小的窗口对初始不连续边缘进行遍历,估计断点处边缘点位置获得连续边缘,并采用最小二乘法拟和出连续平滑的曲线函数。

The detection results of traditional edge detection method are fuzzing and sensitive to noise for convolution operation,and the detection results of morphological edge detection method are easy to lose edge information for various detection results.

针对传统的边缘检测方法因卷积运算造成模糊图像边缘,且对噪声敏感,各种形态学边缘检测方法因检测到的边缘信息类型不同而容易使边缘信息丢失,提出一种组合式抗噪型形态学边缘检测算子;并利用不同尺度的结构元素具有不同的图像边缘检测效果,进行形态结构元素的尺度调整,得到不同尺度结构元素下的图像边缘位置;然后进行加权合成来获得边缘图像;实验表明,与其他的传统或者形态学边缘检测方法相比,该文方法不仅具有更好的噪声抑制功能,而且其检测到的边缘轮廓更加清晰完整,边缘细节更加丰富。

This article adopts LOG operator as edge-detect operator. First, Guass operator is used to smooth the original image and reduce the noise, then Laplace operator is applied to the result smoothed, thus the anti-noise function of the algorithm is improved.

本文采用LOG算子作为边缘检测算子,首先对原始图像用Gauss函数平滑去噪,然后用Laplace算子作用于平滑后的结果,提高了算法的抗干扰性。

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