• Title of article

    Trichomonas Detection in Leucorrhea Based on VIBE Method

  • Author/Authors

    Du, Xiaohui University of Electronic Science and Technology of China - MOEMIL Laboratory - School of Optoelectronic Information - North Jianshe Road - Chengdu, China , Liu, Lin University of Electronic Science and Technology of China - MOEMIL Laboratory - School of Optoelectronic Information - North Jianshe Road - Chengdu, China , Wang, Xiangzhou University of Electronic Science and Technology of China - MOEMIL Laboratory - School of Optoelectronic Information - North Jianshe Road - Chengdu, China , Zhang, Jing University of Electronic Science and Technology of China - MOEMIL Laboratory - School of Optoelectronic Information - North Jianshe Road - Chengdu, China , Ni, Guangming University of Electronic Science and Technology of China - MOEMIL Laboratory - School of Optoelectronic Information - North Jianshe Road - Chengdu, China , Hao, Ruqian University of Electronic Science and Technology of China - MOEMIL Laboratory - School of Optoelectronic Information - North Jianshe Road - Chengdu, China , Liu, Juanxiu University of Electronic Science and Technology of China - MOEMIL Laboratory - School of Optoelectronic Information - North Jianshe Road - Chengdu, China , Liu, Yong University of Electronic Science and Technology of China - MOEMIL Laboratory - School of Optoelectronic Information - North Jianshe Road - Chengdu, China

  • Pages
    10
  • From page
    1
  • To page
    10
  • Abstract
    Trichomonas examination is one of the important items in the leucorrhea routine detection. an‎d it cannot be recognized by still images because of the unstable morphology and unfixed focal location caused by motion characteristic. We proposed an improved VIBE algorithm. 6 videos (totally 1414 frames) are collected for testing. In order to compare the effects of the algorithms, we segment each frame artificially as ground truth. Experiments show that percentage of correct classification (PCC) achieves 88%. The proposed improved method can effectively suppress the false detection caused by the formed components such as epithelial cells in the leucorrhea microscopic image and the missed detection caused by the background model update during the movement. At the same time, improvements can effectively suppress smear and ghost areas. The algorithm proposed in this paper can be integrated into the leucorrhea automatic detection system.
  • Keywords
    Trichomonas , VIBE , PCC , Detection
  • Journal title
    Computational and Mathematical Methods in Medicine
  • Serial Year
    2019
  • Full Text URL
    journals/cmmm/2019/5856970.pdf
  • Record number

    2612040

    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=10&DC=2612040