Laser & Optoelectronics Progress, Volume. 55, Issue 2, 021003(2018)

Depth Image Acquisition Technology Based on Improved Genetic Algorithm

Qi Wang and Yan Piao*
Author Affiliations
  • College of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun, Jilin 130022, China
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    In the research of three-dimensional imaging technology, the extraction of image depth is not affected by the illumination direction of the light source and the launch characteristics of the object surface, meanwhile with no shadow, and it can accurately show the three-dimensional depth information of the object surface. We propose a depth acquisition method to obtain the high-quality depth images, using the optimal entropy threshold image segmentation method based on improved genetic algorithm to segment the image and then obtain the depth image. This method can obviously improve the accuracy and real validity of the obtained depth image. The improved genetic algorithm can quickly approximate the optimal threshold, greatly shorten the threshold time of the optimal threshold image segmentation, and improve the accuracy of segmentation efficiency and depth acquisition.

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    Qi Wang, Yan Piao. Depth Image Acquisition Technology Based on Improved Genetic Algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(2): 021003

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    Paper Information

    Category: Image processing

    Received: Jul. 30, 2017

    Accepted: --

    Published Online: Sep. 10, 2018

    The Author Email: Piao Yan (piaoyan@cust.edu.cn)

    DOI:10.3788/LOP55.021003

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