高分求英语达人帮忙翻译计算机英语

来源：百度知道 编辑：UC知道 时间：2024/06/16 17:23:09
求英语比较好或者计算机英语比较好的达人帮忙翻译下面一段摘要，金山词霸CV过来的就不需要啦~谢谢~

摘 要
获取图像的过程中，由于多种因素的影响，导致图像质量会有所退化。图像增强的目的在于通过处理有选择地突出便于人或机器分析某些感兴趣的信息，抑制一些无用的信息，以提高图像的使用价值。图像锐化正是图像增强中空间域局部运算方法中的一种，其目的是增强和判断图像的边缘和轮廓信息。而图像锐化的具体方法就是通过微分而使图像边缘突出、清晰。
图像锐化最常用的方法是梯度锐化法，但除梯度算法外，图像锐化的方法还有Sobel、Prewitt和Laplacian等多种算法，本文对这些方法进行了介绍、比较和分析 , 并选择几个算法进行实验。

关键词：图像增强；边缘；图像锐化

Abstract
The process of acquiring images, due to a variety of factors, led to the degradation of image quality will be. The purpose of image enhancement by processing selectively highlight or machines to facilitate analysis of certain information of interest to suppress some useless information in order to enhance the value of images. Image sharpening is the image enhancement in the spatial domain of local computing methods with the aim of enhancing and judging the image edge and contour information. The specific methods of image sharpening is to highlight the differential of the image edge and clear.
Image Sharpening most commonly used method is the gradient sharpening method, but in addition to the gradient algorithm, the image sharpening method also Sobel, Prewitt and Laplacian algorithm, etc., this paper introduce these methods, comparison and analysis, and select Several algorithms for performing experiments.

Keywords: image enhancement; edge; Image Shar