CAJ | 학술논문

组织构建%组织构建细胞学实验%视网膜%视锥细胞%图像处理%对比度拉伸%边缘提取%Laplacian算子%自适应光学%黄斑中心凹%形态学%腐蚀与膨胀%863项目組織構建%組織構建細胞學實驗%視網膜%視錐細胞%圖像處理%對比度拉伸%邊緣提取%Laplacian算子%自適應光學%黃斑中心凹%形態學%腐蝕與膨脹%863項目
조직구건%조직구건세포학실험%시망막%시추세포%도상처리%대비도랍신%변연제취%Laplacian산자%자괄응광학%황반중심요%형태학%부식여팽창%863항목
tissue construction%cytology experiment in tissue construction%retina%cone cells%image processing%contrast stretching%edge extraction%Laplacian operator%adaptive optics%fovea%morphology%corrosion and expansion%National“863”Program of China

背景:视网膜自适应光学成像系统所获取的视锥细胞图像具有灰度分布相对集中、亮点边缘比较模糊、存在伪轮廓及边缘相粘连的特点,寻找一种适合视锥细胞图像的处理算法来获取视网膜视锥细胞清晰轮廓成为今后工作的重点内容. 目的:采用MATLAB图像处理工具箱对视锥细胞图像进行边缘提取,获取其清晰的边缘轮廓. 方法:对30例正常受试者不同部位视锥细胞图像进行预处理、边缘提取和形态学处理,获取视锥细胞图像清晰的边缘轮廓;对处理后的图像进行细胞计数,并分析视锥细胞密度分布特性,进而来验证图像处理算法应用于视锥细胞分布特性研究的可行性. 结果与结论:获取了清晰的视网膜视锥细胞图像轮廓;从结果来看,随着远离黄斑中心凹,细胞密度呈现出降低的趋势,从黄斑中心凹偏0.5°到1°范围内,视网膜视锥细胞密度下降最快.结果提示:实验所设计的图像处理算法在研究视网膜视锥细胞分布特性方面是可行的.
배경:시망막자괄응광학성상계통소획취적시추세포도상구유회도분포상대집중、량점변연비교모호、존재위륜곽급변연상점련적특점,심조일충괄합시추세포도상적처리산법래획취시망막시추세포청석륜곽성위금후공작적중점내용. 목적:채용MATLAB도상처리공구상대시추세포도상진행변연제취,획취기청석적변연륜곽. 방법:대30례정상수시자불동부위시추세포도상진행예처리、변연제취화형태학처리,획취시추세포도상청석적변연륜곽;대처리후적도상진행세포계수,병분석시추세포밀도분포특성,진이래험증도상처리산법응용우시추세포분포특성연구적가행성. 결과여결론:획취료청석적시망막시추세포도상륜곽;종결과래간,수착원리황반중심요,세포밀도정현출강저적추세,종황반중심요편0.5°도1°범위내,시망막시추세포밀도하강최쾌.결과제시:실험소설계적도상처리산법재연구시망막시추세포분포특성방면시가행적.
@@@@BACKGROUND:The cone cel for the image retina adaptive optical imaging system is characterized by the relatively concentrated gray distribution, vague window edge, the existing pseudo outline, and the adhesion of edge photograph. Looking for a suitable processing algorithm of the cone image to get the clear outline is the key content for the future work. @@@@OBJECTIVE:To perform edge extraction of the retina cone cel image and get clear edge profile of the cone cel based on the MATLAB. @@@@METHODS:According to the retinal image of the different parts of 30 normal subjects, based on Mat lab image processing toolbox, we could preprocess the cone cel image, edge extraction and process morphological, and get the clear edge profile of the cone cel image. The cel numbers of processed image was counted, the cone distribution characteristics were analyzed, and then the feasibility of this study which designed image processing algorithm applied to the study of the distribution characteristics of cone cel s were verified. @@@@RESULTS AND CONCLUSION:A clear outline of the retinal cones image was obtained successful y. From the results of cone cel ’s density, as far away from the center fovea of macula, the cel density presented a trend of reduction;from the center fovea of macula partial range 0.5° to 1°, the retinal cones density decreased rapidly. The findings indicated that the algorithm of the image processing designed in this study can be used to study the retinal characteristics of the cones distribution.