中文说明：图像边缘检测算法研究 一、边缘检测： 边缘是指图像局部亮度变化最显著的部分，边缘主要存在于目标与目标、目标与背景、区域与区域（包括不同色彩）之间，是图像分割、纹理特征提取和形状特征提取等图像分析的重要基础。边缘的检测正是利用物体和背景在某种图像特性上的差异来实现的。这些差异包括灰度、颜色或纹理特征。边缘检测实际上就是检测图像特性发生变化的位置。二、图像的边缘大致可分为两种：阶跃状和屋顶状；阶跃状的边缘处于图像中两个不同灰度的相邻区域之间，屋顶状的边缘上升和下降都比较缓慢。阶跃状边缘的位置在一阶导数的峰值点，在二阶导数的过零点；屋顶状边缘（有一定的宽度范围）的位置在一阶导数的两峰值之间，在二阶导数的两个过零点之间。三、基于一阶导数法的边缘检测。。。。。
English Description：
Research on image edge detection algorithmAn edge, edge detection: refers to the part of the local image brightness changes most significantly, edge mainly exists in the target and a target, targetCalibration and background, region and region (including different color) between, is the extraction of image segmentation, texture feature extraction and shape featureAs an important foundation for image analysis. Edge detection is the difference between the use of objects and background characteristics in some on the image to achieveThe. These differences including intensity, color or texture features. Edge detection is actually detected image characteristics change bitThe.Two, the edge of the image can be divided into two kinds: the step shape and the roof shape; the step like edge in two different gray imageBetween adjacent area, roof edge rise and fall slowly.The step like edge position in a derivative peak point, zero at the two order deri