纳米技术与精密工程
納米技術與精密工程
납미기술여정밀공정
NANOTECHNOLOGY AND PRECISION ENGINEERING
2008年
5期
383-387
,共5页
掌/指纹%图像匹配技术%测量位置改变%光学测头
掌/指紋%圖像匹配技術%測量位置改變%光學測頭
장/지문%도상필배기술%측량위치개변%광학측두
palm/finger print%image matching technique%measured position changes%optical probe
应用光学测头的测量方式中,由于方便测量和易于随时测量,手掌和手指经常被选作测量部位.然而,由于人体不同部位皮肤结构的变异性,由人为运动导致的测量位置改变会对被测光有很大影响.为此,开发了一种基于掌/指纹图像匹配技术的有效方法,以避免测量位置的改变.该方法通过应用小波变换、相位相关和曲面拟合技术,分析不同测量位置之间旋转和平移改变量,然后驱动光学测头到达相应的位置,从而使光学测头每次均测量同一位置.其精度评测结果表明,平移检测精度达到1/50像素,旋转检测精度达到0.15°.光谱测量结果表明,该技术的应用使光谱稳定性提高了3倍左右.
應用光學測頭的測量方式中,由于方便測量和易于隨時測量,手掌和手指經常被選作測量部位.然而,由于人體不同部位皮膚結構的變異性,由人為運動導緻的測量位置改變會對被測光有很大影響.為此,開髮瞭一種基于掌/指紋圖像匹配技術的有效方法,以避免測量位置的改變.該方法通過應用小波變換、相位相關和麯麵擬閤技術,分析不同測量位置之間鏇轉和平移改變量,然後驅動光學測頭到達相應的位置,從而使光學測頭每次均測量同一位置.其精度評測結果錶明,平移檢測精度達到1/50像素,鏇轉檢測精度達到0.15°.光譜測量結果錶明,該技術的應用使光譜穩定性提高瞭3倍左右.
응용광학측두적측량방식중,유우방편측량화역우수시측량,수장화수지경상피선작측량부위.연이,유우인체불동부위피부결구적변이성,유인위운동도치적측량위치개변회대피측광유흔대영향.위차,개발료일충기우장/지문도상필배기술적유효방법,이피면측량위치적개변.해방법통과응용소파변환、상위상관화곡면의합기술,분석불동측량위치지간선전화평이개변량,연후구동광학측두도체상응적위치,종이사광학측두매차균측량동일위치.기정도평측결과표명,평이검측정도체도1/50상소,선전검측정도체도0.15°.광보측량결과표명,해기술적응용사광보은정성제고료3배좌우.
Palm and finger are usually preferred to be used as measured sites in optical probe-based measurement becausethey both are convenient and easy to be measured at any time. However,measured position changes induced by artificial movement could influence the detected light due to the inhomogeneity of skin tissue structures beneath different measured sites. In this paper, our aim is to present an efficient method to correct measured position changes by using palm/finger print image matching technique. This image matching technique combined wavelet transform with phase correlation and parabol-oid surface fit. During the measurement, optical probe was driven to the fixed position based on the translation and rotation changes between different measured positions calculated by the proposed technique. The results show that for the noise-free palm/finger print images,the matching accuracy is less than 1/50 pixel for translation and 0.15° for rotation. Finally,spectroscopic measurement results show that spectral stability with current palm/finger print image matching technique in-creases by around three times more than that without the technique.