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- pickingup image edge 图像边缘提取
- Traditional algorithms of image edge detection were analyzed. 摘要分析了传统图像边缘检测算法。
- Firstly, image edge was detected by using several typical structure elements. 首先选取几个有代表性的结构元素对灰度图像进行边缘检测得到边缘图像。
- SAR image edge withdrawing is a important content of image proceesion. SAR图像的边缘提取是其图像处理的一项重要内容。
- The method of Roberts ,Sobel, Krisch and Gauss Laplace are analysed in image edge detection of pests in stored grain. 在此基础上详细分析了roberts算子、Sobel算子、Krisch算子、高斯-拉普拉斯算子在害虫图像边缘检测中的应用。
- Infrared image edge detection is the key step of infrared image object identification and fault diagnosis. 红外图像的边缘检测是红外图像目标识别以及进一步红外故障诊断的关键环节。
- The image edge was obtained by means of Sobel operator and track-ing bug method were compared. 研究了柑桔图像的平滑和边缘提取方法;比较了利用Sobel算子和跟踪虫(tracking bug)法所得到的柑桔边缘;发现跟踪虫法寻找边界的速度比用Sobel算子快;且不需要进行细化处理.
- So we use many structure element to detect the image edge, there are many kinds of structure in result image. 考虑到在图像物体边缘是多样的这一事实，我们采用了多结构元对图像进行边缘检测，使得在边缘图像中边缘的类型也是多种的。
- The fuzzy method for edge detection and extraction, which overcomes the shortcomings of the classic method, is suitable for precision image edge detection and extraction. 而边缘检测提取的模糊方法可克服经典方法的不足,比较适合精细图像边缘的检测和提取;
- Image edge detection is one of basic problems in image processing, and is a key step in image processing and image analysis. 图像边缘检测是图像处理的基本问题之一,是图像处理到图像分析的关键步骤。
- Visible around the entire image edge is the courtyard of Hirsau Abbey, once a Benedictine Monastery founded in the year 830. 可以看到整张影像的边缘就是伊尔松修道院的庭院，它是一所修建于公元830年的本笃会修道院。
- All kind of methods which are widely used in image edge detection are presented by author.Multiwavelet transform as a new theory is pain lucubration. 对目前在图像边缘检测中广泛使用的各种方法都进行了介绍,对多小波变换这一新兴理论进行了介绍。
- Then, the data set is classified by PSO fuzzy clustering algorithm to adaptively detect the image edge points so as to extract an edge. 然后对这个数据集应用粒子群模糊聚类算法进行分类，自适应地检测出图像的边缘点，达到提取边缘的目的。
- Yang Pingxian, Zhang Jiashu, Li Defang.Study for image edge detection based on fractal feature[J].Telecommunication Engineering, 1998,38(4): 54-57. [9]杨平先;张家树;李德芳.;基于分形的图像边缘检测研究[J]
- Experimental results show that the image is distinctly segmented into multi-regions,the image edge is legible,and the fusion results are satisfactory. 试验结果表明,该算法可将图像分割成多个聚焦区域,边缘清晰、融合效果良好。
- It is important to detect the image edge in the course of quality testing for ceramic tile,but noise in the image processing system is unavoidable. 在墙地砖的质量检测过程中,边缘检测是一项重要内容,而在检测过程中,图像噪声的引入不可避免。
- The experiment results show that this algorithm can not only strain effectively every slow changing and pulse noise, but also sharpen well the image edge simultaneously. 实验结果表明,该算法不仅可以有效滤除各种慢变化及脉冲噪声,而且在滤噪的同时能锐化目标的边缘。
- Based on the variation feature of signal and yawp wavelet modulus value in different scales,image edge is extracted by using local maximum of wavelet variation modulus. 基于信号和噪声在不同尺度下小波系数模值的变化特征,利用小波变换系数模的局部极大值提取图像的边缘。
- Fifth the grads image of manufacture kit is gained on the base of wavelet transform and then image edge can be detected with the use of grads module of image. 第五步，在小波变换的基础上得到套件产品的梯度图像，然后根据图像梯度模值的极大值提取图像边沿；
