数字图像相关中的散斑区域自动提取研究.docx

数字图像相关中的散斑区域自动提取研究
数字图像相关中的散斑区域自动提取研究
摘要：
随着数码相机和智能手机的普及，数字图像在我们日常生活中扮演着越来越重要的角色。然而，在数字图像相关的应用中，散斑现象是一种较为普遍的问题。散斑是由于光波经过不均匀介质（如液晶显示器、玻璃等）时发生折射、反射、散射而引起的光的干涉引起的。散斑使得图像的品质下降，难以满足高精度数字图像处理所需的精度要求。因此，对于数字图像散斑区域的自动提取研究具有重要的意义。本文对数字图像散斑区域自动提取的研究现状进行了探讨，并提出了一种基于模板卷积的散斑区域自动提取方法。
关键词：数字图像；散斑区域；自动提取；模板卷积
Abstract：
Withthepopularityofdigitalcamerasandsmartphones,digitalimagesareplayinganincreasinglyimportantroleinourdailylives.However,indigitalimage-relatedapplications,specklephenomenonisacommonproblem.Speckleiscausedbytheinterferenceoflightwavesduetorefraction,reflection,andscatteringwhenpassingthroughnon-uniformmediasuchasliquidcrystaldisplaysandglass.Specklecausesthequalityoftheimagetodecrease,makingitdifficulttomeettheaccuracyrequirementsrequiredforhigh-precisiondigitalimageprocessing.Therefore,itisofgreatsignificancetostudytheautomaticextractionofspeckleareasindigitalimages.Thispaperdiscussesthecurrentresearchstatusofautomaticextractionofspeckleareasindigitalimages,andproposesaspeckleareaautomaticextractionmethodbasedontemplateconvolution.
Keywords:digitalimage;specklearea;automaticextraction;templateconvolution
1.Introduction
Inrecentyears,digitalimageprocessingtechnologyhasmadegreatprogress,anddigitalimageshavebeenwidelyusedinvariousfieldssuchasmedicaldiagnosis,remotesensing,andindustrialinspection.However,intheacquisitionofdigitalimages,duetotheinfluenceoftheimagingsystemortheenvironment,theoccurrenceofspecklephenomenahasbecomeacommonproblem.Specklehasthecharacteristicsofhighcontrast,lowsignal-to-noiseratio,andrandomdistribution,whichnotonlyaffectsthevisualeffectoftheimagebutalsomakesitdifficulttoprocesstheimageautomatically.
Therefore,theautomaticextractionofspeckleareasindigitalimageshasbecomeanimportantresearchtopicinthefieldofimageprocessing.Inthispaper,wediscussedthecurrentresearchstatusofautomaticextractionofspeckleareasindigitalimages,andproposedaspeckleareaautomaticextractionmethodbasedontemplateconvolution.
2.Researchstatus
2.1Thetraditionalmethod
Usually,thet