计算机辅助设计与图形学学报
計算機輔助設計與圖形學學報
계산궤보조설계여도형학학보
JOURNAL OF COMPUTER-AIDED DESIGN & COMPUTER GRAPHICS
2015年
6期
1067-1073
,共7页
立体视觉%缝纫线迹质量检测%目标识别%特征提取与匹配%三维信息获取
立體視覺%縫紉線跡質量檢測%目標識彆%特徵提取與匹配%三維信息穫取
입체시각%봉인선적질량검측%목표식별%특정제취여필배%삼유신식획취
stereo vision%sewing stitch quality inspection%target recognition%feature extraction and matching%three-dimen-sional information acquisition
针对目前各种缝纫线迹质量检测全部依赖人工目视检测和逐针检查,导致工作量巨大,且容易由于视觉的疲劳造成漏检或误检的问题,以降落伞缝纫线迹为例,提出一种基于立体视觉的线迹质量自动检测方法.首先对立体摄像机进行标定,获取立体摄像机的内参数和相对位置姿态;然后对立体影像进行图像分类、线迹目标稳健提取、同名特征匹配等一系列处理;最后结合立体摄像机标定结果计算缝纫线迹上针脚点的三维空间坐标,实现缝纫线迹属性参数的计算和质量评定.利用多组降落伞缝纫线迹数据进行实验的结果表明,采用文中方法检测的线迹密度误差在±0.2针以内,均匀度基本相同,完全能够满足缝纫线迹检测精度要求,从而验证了该方法的可行性和有效性.
針對目前各種縫紉線跡質量檢測全部依賴人工目視檢測和逐針檢查,導緻工作量巨大,且容易由于視覺的疲勞造成漏檢或誤檢的問題,以降落傘縫紉線跡為例,提齣一種基于立體視覺的線跡質量自動檢測方法.首先對立體攝像機進行標定,穫取立體攝像機的內參數和相對位置姿態;然後對立體影像進行圖像分類、線跡目標穩健提取、同名特徵匹配等一繫列處理;最後結閤立體攝像機標定結果計算縫紉線跡上針腳點的三維空間坐標,實現縫紉線跡屬性參數的計算和質量評定.利用多組降落傘縫紉線跡數據進行實驗的結果錶明,採用文中方法檢測的線跡密度誤差在±0.2針以內,均勻度基本相同,完全能夠滿足縫紉線跡檢測精度要求,從而驗證瞭該方法的可行性和有效性.
침대목전각충봉인선적질량검측전부의뢰인공목시검측화축침검사,도치공작량거대,차용역유우시각적피로조성루검혹오검적문제,이강락산봉인선적위례,제출일충기우입체시각적선적질량자동검측방법.수선대입체섭상궤진행표정,획취입체섭상궤적내삼수화상대위치자태;연후대입체영상진행도상분류、선적목표은건제취、동명특정필배등일계렬처리;최후결합입체섭상궤표정결과계산봉인선적상침각점적삼유공간좌표,실현봉인선적속성삼수적계산화질량평정.이용다조강락산봉인선적수거진행실험적결과표명,채용문중방법검측적선적밀도오차재±0.2침이내,균균도기본상동,완전능구만족봉인선적검측정도요구,종이험증료해방법적가행성화유효성.
At present, quality inspection of all kinds of sewing stitches relies on manual visual inspection needle by needle. This method may lead to undetection or false detection easily due to the visual fatigue, and which workload is very huge. A quality auto-inspection method of parachute sewing stitch based on stereo vision is proposed in this paper. First, calibrate the stereo cameras to obtain intrinsic parameters and the relative position and posture of stereo cameras. Then, series algorithms of stereo images processing were implemented including image classification, target extracting and feature matching. Finally, combining cali-bration result of stereo cameras, three-dimensional coordinates of sewing stitch were calculated to obtain the attribute parameters and assess the quality of parachute sewing stitch. Experiment results of multiple groups of parachute sewing stitch data show that the stitch density error is within ± 0.2 pin and the degree of uni-formity is almost equal compared with manual detection results. This can fully meet the accuracy require-ment of sewing stitch detection, and demonstrate the feasibility and effectiveness of this method.