• Chinese Optics Letters
  • Vol. 17, Issue 4, 041703 (2019)
Zhuang Li1, Guodong Lü2, and Xiaoyi Lü3、*
Author Affiliations
  • 1School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China
  • 2Xinjiang Key Laboratory of Echinococcosis, Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
  • 3College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China
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    DOI: 10.3788/COL201917.041703 Cite this Article Set citation alerts
    Zhuang Li, Guodong Lü, Xiaoyi Lü. Improved recognition of Echinococcus granulosus protoscoleces using visual saliency and scale-invariant features[J]. Chinese Optics Letters, 2019, 17(4): 041703 Copy Citation Text show less
    (a) Microscopic image of Echinococcusgranulosus protoscoleces and (b) the corresponding visual saliency map produced with the Itti model.
    Fig. 1. (a) Microscopic image of Echinococcusgranulosus protoscoleces and (b) the corresponding visual saliency map produced with the Itti model.
    Graphical depiction of the difference-of-Gaussian function.
    Fig. 2. Graphical depiction of the difference-of-Gaussian function.
    Keypoint descriptor determination process.
    Fig. 3. Keypoint descriptor determination process.
    Proposed method for detecting Echinococcusgranulosus protoscoleces based on visual saliency and scale-invariant features.
    Fig. 4. Proposed method for detecting Echinococcusgranulosus protoscoleces based on visual saliency and scale-invariant features.
    (a) Microscopic image of Echinococcusgranulosus protoscoleces, (b) the corresponding visual saliency map produced with the modified Itti model, and (c) the SVM classification results applied to the original image.
    Fig. 5. (a) Microscopic image of Echinococcusgranulosus protoscoleces, (b) the corresponding visual saliency map produced with the modified Itti model, and (c) the SVM classification results applied to the original image.
    Egg recognition results using the proposed method.
    Fig. 6. Egg recognition results using the proposed method.
    Visual Saliency ModelNumber of Actual Living ParasitesNumber of Correctly Identified Living ParasitesParasite Recognition Rate
    Conventional Itti model221881.8%
    Modified Itti model222195.4%
    Table 1. Comparative Parasite Recognition Rates for Methods Using the Conventional Itti model and the proposed modified Itti model
    Test ImageNumber of Actual Living ParasitesNumber of Correctly Identified Living ParasitesEgg Recognition Rate
    a222195.4%
    b302790.0%
    c504692.0%
    Table 2. Comparative Parasite Recognition Rates Using the Proposed Method for Three Different Eosin Exclusion Test Images Containing Living Parasites
    Zhuang Li, Guodong Lü, Xiaoyi Lü. Improved recognition of Echinococcus granulosus protoscoleces using visual saliency and scale-invariant features[J]. Chinese Optics Letters, 2019, 17(4): 041703
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