医学试纸条图像识别与分类分析

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1、杭州电子科技大学硕士学位论文4.系统实现在算法研究的基础上，采用MATLAB开发语言和GUI技术，设计与实现了试纸条图像识别系统。该系统主要功能包括：图像校正、图像分割、试纸条图像提取、试纸条图像平滑、试纸条图像增强和试纸条图像识别等。并在系统上进行试纸条图像识别测试，输出分类结果。实验结果显示，本文采用的结合样本图像直方图特征和Gabor纹理特征作为SVM的输入向量和试纸条图像水平投影曲线两种识别方法，对试纸条图像的识别都是有效的。关键词：医学图像处理，CLAHE，特征提取，SVM，投影曲线II万方数据杭州

2、电子科技大学硕士学位论文ABSTRACTMedicalimagingtechnologyhasbeenwidelyappliedtothemedicalstudyandpracticeofclinicalmedicine,andthemedicalstaffcangrasptheinternallesionsmoreconvenientanddirectlywiththemedicalimaging,whichincreasesthediagnosticrate.Moreandmorescholarsbega

3、ntofocustheirattentionsonmedicalimageprocessing.Thisarticlemainlyaimsatdoingtheresearchforthemedicalallergenteststripimage,whichimprovestheimagepreprocessingalgorithmbasedonthetraditionalalgorithmtogetanimprovedimageenhancementalgorithm.Theexperimentalresul

4、tsshowthattheimprovedalgorithmismoresuitableforteststripimageenhancement.Besides,westudytherecognitionandclassificationofthestripimageinordertoproposeamethodtorecognizethelevelprojectioncurveofstripimage.Atlast,wedesignandimplementateststripimagerecognition

5、systemtoimprovetheproblemsoflowefficiencyaswellasthelimitationofqualitativejudgementcausedbythemacroscopicjudgementofteststripimage.Thispapermakesthemainachievementsasfollows:1.PreprocessingalgorithmoftheteststripimageWeproposeseveralimagepreprocessingalgor

6、ithmssuitableforteststripimagesuchasimagecorrection,imagebinarizationandimagepositioningbasedonthestudyofimagepreprocessingalgorithms.Firstly,weusethemethodofrectangularimagecorrectionbasedoncoordinategeometrytransformtocorrecttherectangularimagewiththecoor

7、dinatetransformationfortheimagethroughthefourcorners’coordinate.Secondly,weusethemethodsofbinaryimageandprojectiontolocatetheteststripimagepositioninthewholeimage,whichthereforeextractstheteststripimage.2.ImprovedenhancementmethodofmedicalstripsimageBasedon

8、theclassicimageenhancementalgorithmssuchasHE(histogramequalization)andCLAHE(contrastlimitedadaptivehistogramequalization),weproposeanimprovedCLAHEalgorithmintheimageenhancementofmedicalteststrip,theimp