A super depth of field height measurement based on local disparity

• Autorzy: Cui L. , Liu Y. , Yu M. , Jiang G. , Fan S. , Wang Y.

Identyfikatory

DOI

10.5277/oa150207

• Języki publikacji: EN

Abstrakty

EN

A super depth of field height measurement method is proposed to measure the object height with the optical stereoscopic microscope. The quasi-Euclidean epipolar rectification algorithm is utilized on the original stereoimage to obtain rectified stereoimages and calibrate two camera parameters. Then, feature points are obtained by the SURF (speed up robust feature) algorithm and their corresponding disparities are calculated. The disparity-depth of field curve is fitted by combining the step height values of a stepper motor. Moreover, through local disparity value got from feature points on the object, the relative shift height is calculated through regression analysis. Finally, according to binocular vision geometry, the thickness of the object can be calculated. Experimental results show that the measurement error in Z direction is from 1.51% to 7.71%, which indicates that the proposed method is able to measure the height of a microobject beyond depth of field within a tolerant error.

Słowa kluczowe

EN

microscopes; binocular vision; local disparity map; depth of field (DOF); height measurement

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Optica Applicata
• Rocznik: 2015
• Tom: Vol. 45, nr 2
• Strony: 205--214
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Cui L.

• Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China

autor

Liu Y.

• Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China

autor

Yu M.

• Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China

autor

Jiang G.

• Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China

autor

Fan S.

• Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China

autor

Wang Y.

• Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China

Bibliografia

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