Location of the micro manipulator based on color recognition of micro images

Zhenying Xu; Kai Xiao; Yun Wang; Zhihao Tang

doi:10.1117/12.782832

21 November 2007 Location of the micro manipulator based on color recognition of micro images

Zhenying Xu, Kai Xiao, Yun Wang, Zhihao Tang

Proceedings Volume 6724, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Design, Manufacturing, and Testing of Micro- and Nano-Optical Devices and Systems; 672415 (2007) https://doi.org/10.1117/12.782832
Event: 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, 2007, Chengdu, China

Abstract

In this paper, we concerns on the location of the micro manipulator in a micro manipulating system based on SLM and two CCDs. After getting the depth image of an object and its background by SLM, we stress the importance on how to separate them and then obtain the position information of the object. Firstly, we obtain HSI model of the micro-vision image according to the transform function from RGB to HSI. Then, we draw the curve of H component of the image. According to this image, we separate the object from the background successfully. After that, applying moment method, we calculate mass centric coordinate of the object. Finally, applying the projective geometry in the stereo vision, we get centric coordinate of the object combined with the coordinate system of the CCD. Therefore, we realize the location of the micro object. This method is applied in practical micro-manipulating and fast and high-accurate location of object is obtained with a locating accuracy less than 1%.

Citation Download Citation

Zhenying Xu, Kai Xiao, Yun Wang, and Zhihao Tang "Location of the micro manipulator based on color recognition of micro images", Proc. SPIE 6724, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Design, Manufacturing, and Testing of Micro- and Nano-Optical Devices and Systems, 672415 (21 November 2007); https://doi.org/10.1117/12.782832

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KEYWORDS

RGB color model

Charge-coupled devices

Spatial light modulators

Object recognition

Image segmentation

Stereo vision systems

Eye models

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