光学精密工程
光學精密工程
광학정밀공정
OPTICS AND PRECISION ENGINEERING
2009年
6期
1316-1321
,共6页
聂林%陈伟%李德胜%郭书祥
聶林%陳偉%李德勝%郭書祥
섭림%진위%리덕성%곽서상
微型机器人%等离子高分子导电薄膜%图像处理%Hough圆%视觉伺服
微型機器人%等離子高分子導電薄膜%圖像處理%Hough圓%視覺伺服
미형궤기인%등리자고분자도전박막%도상처리%Hough원%시각사복
micro robot%Ionic Conducting Polymer gel Film (ICPF)%image process%visual servo%Hough
ICPF是能够被1.5 V低电压驱动的等离子高分子导电薄膜,具有质量轻、响应速度快的特点.用长21.6 mm、宽4.6 mm、厚0.2 mm的ICPF薄膜驱动的微型机器人能够以3 mm/s的速度在水中运动.为了对其运动姿态进行检测和控制,设计了微型机器人的图像处理系统,此系统由CCD摄像机、图像接口卡、计算机和波形发生器组成.通过CCD摄像机获取机器人的运动图像序列;利用目标短时相似性,对每一帧图像进行色调自动阈值分割和边缘提取得到目标二值图像;采用改进的Hough圆变换计算出目标在图像中的位置和运动方向.最后,根据目标的位置和运动方向,通过波形发生器,改变ICPF两端的电压和频率来实现对机器鱼姿态的控制.本系统在Pentium 4 2.8 G内存1 G的电脑上,处理一张图片需52 ms,可以实现对机器人的实时检测、跟踪和控制.
ICPF是能夠被1.5 V低電壓驅動的等離子高分子導電薄膜,具有質量輕、響應速度快的特點.用長21.6 mm、寬4.6 mm、厚0.2 mm的ICPF薄膜驅動的微型機器人能夠以3 mm/s的速度在水中運動.為瞭對其運動姿態進行檢測和控製,設計瞭微型機器人的圖像處理繫統,此繫統由CCD攝像機、圖像接口卡、計算機和波形髮生器組成.通過CCD攝像機穫取機器人的運動圖像序列;利用目標短時相似性,對每一幀圖像進行色調自動閾值分割和邊緣提取得到目標二值圖像;採用改進的Hough圓變換計算齣目標在圖像中的位置和運動方嚮.最後,根據目標的位置和運動方嚮,通過波形髮生器,改變ICPF兩耑的電壓和頻率來實現對機器魚姿態的控製.本繫統在Pentium 4 2.8 G內存1 G的電腦上,處理一張圖片需52 ms,可以實現對機器人的實時檢測、跟蹤和控製.
ICPF시능구피1.5 V저전압구동적등리자고분자도전박막,구유질량경、향응속도쾌적특점.용장21.6 mm、관4.6 mm、후0.2 mm적ICPF박막구동적미형궤기인능구이3 mm/s적속도재수중운동.위료대기운동자태진행검측화공제,설계료미형궤기인적도상처리계통,차계통유CCD섭상궤、도상접구잡、계산궤화파형발생기조성.통과CCD섭상궤획취궤기인적운동도상서렬;이용목표단시상사성,대매일정도상진행색조자동역치분할화변연제취득도목표이치도상;채용개진적Hough원변환계산출목표재도상중적위치화운동방향.최후,근거목표적위치화운동방향,통과파형발생기,개변ICPF량단적전압화빈솔래실현대궤기어자태적공제.본계통재Pentium 4 2.8 G내존1 G적전뇌상,처리일장도편수52 ms,가이실현대궤기인적실시검측、근종화공제.
The Ionic Conducting Polymer gel Film(ICPF)can be driven by a low voltage (about 1.5 V) and has advantages in the less mass and fast response. A micro-robot moved at 3 mm/s velocity in the water can be actuated by the ICPF (21.6 mm×4.6 mm×0.2 mm).An image processing system is designed for detecting and controlling the movement and posture of the micro-robot,which consists of a CCD camera, an image interface card, a computer and a waveform generator. A movement and posture image sequence of the robot fish is captured by a CCD camera to obtain a binary image of each frame by the hue automatic threshold segmentation and boundary extraction based on the similarity target of in a short period. Then, the target location and movement direction are calculated by the circle detection using improved Hough transform. According to the target location and movement direction, the robot fish posture can be controlled by changing the voltage and frequency of ICPF and by using the waveform generator. Results show that system consumes 52 ms for processing a piece of picture in a Pentium 4 2.8 G computer with 1 G memory and achieves the real-time detection, tracking and control for the micro-robot fish.