交通信息与安全
交通信息與安全
교통신식여안전
JOURNAL OF TRANSPORT INFORMATION AND SAFETY
2014年
2期
90-94
,共5页
裂缝检测%灰度矫正%图像分割%参数计算
裂縫檢測%灰度矯正%圖像分割%參數計算
렬봉검측%회도교정%도상분할%삼수계산
crack detection%gray adjustment%image segmentation%parameter calculation
经过研究给出了不均匀光照的路面裂缝图像识别的详细算法。算法采用多窗口中值滤波进行图像平滑,既能去除图像的噪声点,又较好地保留了裂缝的边缘信息;使用背景子集图像插值校正法进行灰度校正,有效地克服了不均匀成像对后期图像分割的影响;采用otsu阈值分割、形态学去噪及连通区域标记完成裂缝图像分割;选用连通区域个数、投影特征和分布密度3个参数完成裂缝分类;最后提取裂缝长度、宽度和破损面积等裂缝参数。实验结果显示分类准确率为94%,线状裂缝长度误差均值为7.2%,宽度误差均值为11.3%,非线状裂缝的面积误差均值为9.6%,表明这一方法有效、可靠。
經過研究給齣瞭不均勻光照的路麵裂縫圖像識彆的詳細算法。算法採用多窗口中值濾波進行圖像平滑,既能去除圖像的譟聲點,又較好地保留瞭裂縫的邊緣信息;使用揹景子集圖像插值校正法進行灰度校正,有效地剋服瞭不均勻成像對後期圖像分割的影響;採用otsu閾值分割、形態學去譟及連通區域標記完成裂縫圖像分割;選用連通區域箇數、投影特徵和分佈密度3箇參數完成裂縫分類;最後提取裂縫長度、寬度和破損麵積等裂縫參數。實驗結果顯示分類準確率為94%,線狀裂縫長度誤差均值為7.2%,寬度誤差均值為11.3%,非線狀裂縫的麵積誤差均值為9.6%,錶明這一方法有效、可靠。
경과연구급출료불균균광조적로면렬봉도상식별적상세산법。산법채용다창구중치려파진행도상평활,기능거제도상적조성점,우교호지보류료렬봉적변연신식;사용배경자집도상삽치교정법진행회도교정,유효지극복료불균균성상대후기도상분할적영향;채용otsu역치분할、형태학거조급련통구역표기완성렬봉도상분할;선용련통구역개수、투영특정화분포밀도3개삼수완성렬봉분류;최후제취렬봉장도、관도화파손면적등렬봉삼수。실험결과현시분류준학솔위94%,선상렬봉장도오차균치위7.2%,관도오차균치위11.3%,비선상렬봉적면적오차균치위9.6%,표명저일방법유효、가고。
An algorithm to automatically detect and classify pavement cracks is presented in this paper .First ,the multi-window median filter is used ,which can not only remove the noises but also reserve crack information .Second ,the background subset interpolation method is applied to dealing with non-uniform illumination in the post-segmentation step . After that ,the otsu threshold segmentation method ,morphologic method ,and connected components marking method are used sequentially to segment the crack image .Furthermore ,the number of connected components ,projection feature , and distribution density are selected to classify the cracks .Finally ,the main parameters for crack ,such as length ,width , and area ,etc .,are calculated .The results show that the classification can be as accurate as 94% ,with the crack's length error of 7 .2% ,width error of 11 .3% ,and area error of 9 .6% ,which demonstrates that the mehod is effective and relia-ble .