This paper presents a new ways-free image registration method based on adherent mark recognition method. Accurate 3-D coordinates are first got in each unit-measurement and then all the unit-data information are amalgamated into a communal coordinate system. The stereovision based 3-D profilometer computes at least three marks' 3-D coordinates first and then these coordinates are applied to calibrate the translation and orientation matrix between the two different inspection positions. This method allows any freedom of translation or orientation between every two unit-measurements without special constraints. With all of the six possible freedom transformations, the system's flexibility and adaptability are greatly enhanced, so the objects under inspection can be measured according to their inherent shapes at each optimal angle of view. As there needs no redundant ways in the measurement, the portable on-spot inspection becomes feasible. The paper analyzes two different amalgamation algorithms in detail and finally computer simulation results are given.
机构:
George Washington Univ, Dept Elect Engn & Comp Sci, Dept Med Imaging & Image Anal, Washington, DC 20052 USAGeorge Washington Univ, Dept Elect Engn & Comp Sci, Dept Med Imaging & Image Anal, Washington, DC 20052 USA
Hsu, LY
Loew, MH
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机构:
George Washington Univ, Dept Elect Engn & Comp Sci, Dept Med Imaging & Image Anal, Washington, DC 20052 USAGeorge Washington Univ, Dept Elect Engn & Comp Sci, Dept Med Imaging & Image Anal, Washington, DC 20052 USA
机构:
George Washington Univ, Dept Elect Engn & Comp Sci, Dept Med Imaging & Image Anal, Washington, DC 20052 USAGeorge Washington Univ, Dept Elect Engn & Comp Sci, Dept Med Imaging & Image Anal, Washington, DC 20052 USA
Hsu, LY
Loew, MH
论文数: 0引用数: 0
h-index: 0
机构:
George Washington Univ, Dept Elect Engn & Comp Sci, Dept Med Imaging & Image Anal, Washington, DC 20052 USAGeorge Washington Univ, Dept Elect Engn & Comp Sci, Dept Med Imaging & Image Anal, Washington, DC 20052 USA