CAJ | 학술논문

针对气动光学效应以及噪声等先验信息不明带来的图像模糊退化，从而使图像过渡区域不易进行细化的问题，提出了一种大气湍流退化图像的过渡区域提取及细化算法。首先，对退化图像进行了基于局部方差的区域分割；然后，对过渡区域进行噪声疑似度和边缘疑似度判断，以获得更贴近区域中心线的较窄区域；最后，进一步对过渡区域跟踪细化完成了轮廓提取。大量仿真实验结果表明，算法较好地提取了退化图像的轮廓信息，同时，算法具有较好的区域分割效果、抗噪性能、细化效果以及实时性。
침대기동광학효응이급조성등선험신식불명대래적도상모호퇴화，종이사도상과도구역불역진행세화적문제，제출료일충대기단류퇴화도상적과도구역제취급세화산법。수선，대퇴화도상진행료기우국부방차적구역분할；연후，대과도구역진행조성의사도화변연의사도판단，이획득경첩근구역중심선적교착구역；최후，진일보대과도구역근종세화완성료륜곽제취。대량방진실험결과표명，산법교호지제취료퇴화도상적륜곽신식，동시，산법구유교호적구역분할효과、항조성능、세화효과이급실시성。
It is difficult to refine edge transitional region for aero-optical degraded images due to aero-optical effects and unknown of transcendental message .To solve the problem,we proposed an extracting and refining algorithm of edge transitional region for turbulence degraded images .Firstly,adaptive region segmentation based on local variance was made to get edge transitional region .Secondly,similar degree of noise and similar degree of edge were calculated for obtaining the narrow region close to heartland of edge transitional region .At last,track refining to edge transitional region was implemented and the edge contour was extracted .The simulation result indicates that this algorithm,which can extract well the contour message of turbulence degraded images,has fine performance on region segmentation,denoising,refining and real-time capability .