无线电通信技术
無線電通信技術
무선전통신기술
Radio Communications Technology
2015年
6期
79-83
,共5页
景深%活动轮廓%LBP%真圆度%弥散圆
景深%活動輪廓%LBP%真圓度%瀰散圓
경심%활동륜곽%LBP%진원도%미산원
Depth-of-Field%active contour model%LBP%roundness%Circle of Confusion
针对光学显微镜存在小景深且景深范围不易确定的缺陷,导致后续图像处理工作困难这一问题,提出了一种基于弥散圆的光学显微镜景深自动标定方法。控制步进电机 z 轴方向移动连续拍摄,保证载物台上圆点标定板从前离焦到后离焦定向移动;利用活动轮廓分割方法提取图片序列中的轮廓圆,再采用LBP 算法对拍摄图片序列进行复合轮廓处理和跟踪;根据提出的算法统计图像序列中标定圆轮廓的真圆度与弥散圆面积数据并分析标定景深。理论表明,提出的算法可以在不同倍率下测定景深范围,实验结果证明,该算法可以根据序列图片较为有效地标定景深,对后续图像处理有重要意义。
針對光學顯微鏡存在小景深且景深範圍不易確定的缺陷,導緻後續圖像處理工作睏難這一問題,提齣瞭一種基于瀰散圓的光學顯微鏡景深自動標定方法。控製步進電機 z 軸方嚮移動連續拍攝,保證載物檯上圓點標定闆從前離焦到後離焦定嚮移動;利用活動輪廓分割方法提取圖片序列中的輪廓圓,再採用LBP 算法對拍攝圖片序列進行複閤輪廓處理和跟蹤;根據提齣的算法統計圖像序列中標定圓輪廓的真圓度與瀰散圓麵積數據併分析標定景深。理論錶明,提齣的算法可以在不同倍率下測定景深範圍,實驗結果證明,該算法可以根據序列圖片較為有效地標定景深,對後續圖像處理有重要意義。
침대광학현미경존재소경심차경심범위불역학정적결함,도치후속도상처리공작곤난저일문제,제출료일충기우미산원적광학현미경경심자동표정방법。공제보진전궤 z 축방향이동련속박섭,보증재물태상원점표정판종전리초도후리초정향이동;이용활동륜곽분할방법제취도편서렬중적륜곽원,재채용LBP 산법대박섭도편서렬진행복합륜곽처리화근종;근거제출적산법통계도상서렬중표정원륜곽적진원도여미산원면적수거병분석표정경심。이론표명,제출적산법가이재불동배솔하측정경심범위,실험결과증명,해산법가이근거서렬도편교위유효지표정경심,대후속도상처리유중요의의。
As small DOF of optical microscope,the unsharpness is imperceptible under normal viewing conditions.In response to this issue,an optical microscope automatic calibration method is proposed to measure DOF.The proposed method is based on the convex active contour model and LBP algorithm which is easy to work. Additionally, the proposed method provides lower cost than other methods.Firstly,spot calibrate board is fixed on the working stage controlled by the stepper motor,and the sequence images is captured by moving along z?axis from the front of DOF to the back of DOF equidistantly.Secondly,search the circle contour by active contour model in the sequence images.Then,LBP algorithm is utilized on the calibrate sequence images so as to get the circle contours more accurately.Finally,according to the roundness of the contours and circle areas in the statistics list,DOF of optical microscope is effective calibrated.Experimental results demonstrate that the proposed method can be used to measure the DOF on optical microscope,which is of great significance for the follow?up image processing.