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- Research on Sub- pixel Edge Detection Technology 亚像素边缘检测技术的研究
- Displacement resolution of sub pixel is achieved. 检测系统达到了亚像素级的位移分辨率。
- Contours are generated by an edge detection algorithm based on a user chosen pixel threshold. 这个轮廓是根据一选择好了的象素极限在计算机上用边缘定位方法计算出来得。
- The paper defines the edge pixel in image, and brings forward a edge detection algorithm based on differential extremum. 本文通过对边缘点的定义,提出了一种微分极值的边缘检测算法。
- This method can obtain sub pixel locating accuracy without the sacrifice of the aiming speed, because of the coarse and precise locations. 此种方法先经过传统模板算子确定边缘的大致位置 ,然后用曲线拟合方法求出边缘的精确位置 ,经过粗、精两次定位 ,在不牺牲速度的情况下 ,就可获得亚像素级的定位精度。
- Based on the pixel edge,the method of averaging the values of several measurement is used to cause the measurement precision reach 0 1mm. 在像素级边缘的基础上采用多次测量取平均的方法 ;使目标尺寸的测量精度达到 0 .;1mm以上。
- Abstract: Zero-crossing edge detection method was analyzed. 文摘:讨论二阶导数过零边缘检测方法。
- Both step edgedetection and ridge edge detection were discussed. 基于无限对称指数滤波器（ISEF）的沈俊算子是阶跃边缘检测一阶最佳算子的定常系数特例，且易于递推实现和便于调整参数，因此，采用沈俊算子进行阶跃边缘的检测。
- Traditional algorithms of image edge detection were analyzed. 摘要分析了传统图像边缘检测算法。
- We first aPply imagesegmentation and edge detection to the source mural image. 首先我们根据图像分割和边沿提取算法对输入的壁画图像进行区域的提取和分割处理。
- Edge detection is one of the fundamental steps on the image processing. 图象边缘检测是计算机图象处理的最基本步骤之一。
- 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。
- Study on background segment and edge detection of fruit image using machine vision. 水果图像的背景分割和边缘检测技术研究。
- Edge detection is an essential step in image analysis and recognition,and it is an important technology in the image preprocessing procedure. 边缘检测是图像分析识别必不可少的环节,是一种重要的图像预处理技术。
- As Chan-Vese model is based on two homogenous regions,it causes failure in edge detection of infrared images. 然而Chan-Vese模型是以两个同质区域为基础建立的,这并不符合红外图像的特点,导致直接应用该模型处理红外图像时可能失败。
- Extremum method for processing digital laser speckle images to extract sub pixel displacement 数字激光散斑图像的极值位移测量法
- This method is an organic combo of edge detection, edge growing and region merging. 该方法是边缘检测、边缘生长、区域生长等分割技术的有机结合。
- Considered the existing situation, a new algorithm for edge detection of image based on cellular Automata is proposed. 在已有的基于元胞自动机的图像处理算法基础上,结合元胞自动机和图像边缘的种种特征,提出了一种新的适用于图像边缘检测的元胞自动机模型。
- Abstract A method for edge detection based on adaptive ridgelet transform was proposed. 摘要通过分析现有的一些方法，提出了一种基于自适应脊波变换的边缘检测方法。
