流行的数字图像处理滤波操作概述

J. Coady, Andrew O'Riordan, G. Dooly, T. Newe, D. Toal
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引用次数: 13

摘要

进行数字图像处理(DIP)以产生更适合预期应用的改变图像。图像滤波和图像翘曲被认为是最常用的图像处理方法。在图像滤波中,执行这些操作是为了帮助改变或增强图像,以删除图像中的特定特征或突出显示图像中感兴趣的特征。这些操作一般在预处理阶段进行,可以对特征提取的质量和图像分析的结果产生非常积极的效果。本文旨在简要概述一些流行的图像滤波操作,重点介绍边缘检测滤波器,平滑滤波器以及灰度图像相对于彩色图像的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Overview of Popular Digital Image Processing Filtering Operations
Digital image processing (DIP) is carried out to produce an altered image that is more suitable for the intended application. Image filtering and image warping are considered to be the most common methods of image processing. Within image filtering, these operations are carried out to aid the altering or enhancing an image to either remove specific features or highlight features of interest within the image. These operations are generally carried out in the pre-processing stage and can have very positive results on the quality of feature extraction and the results of image analysis. This paper aims to give a brief overview of some popular image filtering operations, focusing on edge detection filters, smoothing filters and the advantages of greyscale over colour images.
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