Improved recognition of <italic>Echinococcus granulosus</italic> protoscoleces using visual saliency and scale-invariant features

Zhuang Li; Guodong Lü; Xiaoyi Lü

doi:10.3788/COL201917.041703

Chinese Optics Letters, Volume. 17, Issue 4, 041703(2019)

Improved recognition of Echinococcus granulosus protoscoleces using visual saliency and scale-invariant features

Zhuang Li¹, Guodong Lü², and Xiaoyi Lü^3、*

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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Figures & Tables(8)

Fig. 1. (a) Microscopic image of Echinococcusgranulosus protoscoleces and (b) the corresponding visual saliency map produced with the Itti model.

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Fig. 2. Graphical depiction of the difference-of-Gaussian function.

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Fig. 3. Keypoint descriptor determination process.

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Fig. 4. Proposed method for detecting Echinococcusgranulosus protoscoleces based on visual saliency and scale-invariant features.

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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.

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Fig. 6. Egg recognition results using the proposed method.

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Table 1. Comparative Parasite Recognition Rates for Methods Using the Conventional Itti model and the proposed modified Itti model
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Table 1. Comparative Parasite Recognition Rates for Methods Using the Conventional Itti model and the proposed modified Itti model
Visual Saliency Model Number of Actual Living Parasites Number of Correctly Identified Living Parasites Parasite Recognition Rate
Conventional Itti model 22 18 81.8%
Modified Itti model 22 21 95.4%

Table 2. Comparative Parasite Recognition Rates Using the Proposed Method for Three Different Eosin Exclusion Test Images Containing Living Parasites
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Table 2. Comparative Parasite Recognition Rates Using the Proposed Method for Three Different Eosin Exclusion Test Images Containing Living Parasites
Test Image Number of Actual Living Parasites Number of Correctly Identified Living Parasites Egg Recognition Rate
$a$ 22 21 95.4%
$b$ 30 27 90.0%
$c$ 50 46 92.0%

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Zhuang Li, Guodong Lü, Xiaoyi Lü, "Improved recognition of Echinococcus granulosus protoscoleces using visual saliency and scale-invariant features," Chin. Opt. Lett. 17, 041703 (2019)

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Paper Information

Category: Medical optics and biotechnology

Received: Nov. 11, 2018

Accepted: Jan. 10, 2019

Published Online: Apr. 3, 2019

The Author Email: Xiaoyi Lü (xiaoz813@163.com)

DOI:10.3788/COL201917.041703

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Comparative Parasite Recognition Rates for Methods Using the Conventional Itti model and the proposed modified Itti model

Table 1. Comparative Parasite Recognition Rates for Methods Using the Conventional Itti model and the proposed modified Itti model

Table 2. Comparative Parasite Recognition Rates Using the Proposed Method for Three Different Eosin Exclusion Test Images Containing Living Parasites

Table 2. Comparative Parasite Recognition Rates Using the Proposed Method for Three Different Eosin Exclusion Test Images Containing Living Parasites