Chinese Journal of Lasers, Volume. 48, Issue 9, 0907002(2021)
Image Processing Method of an Insect Embryo Based on Optical Coherence Tomography
Fig. 2. Comparison of different filtering methods. (a) Original OCT image; (b) median filtering; (c) mean filtering; (d) Gaussian filtering; (e) Wiener filtering
Fig. 3. Images processed by different neighborhood sizes of median filtering. (a) Original OCT image; (b) neighborhood size of 3×3; (c) neighborhood size of 11×11; (d) neighborhood size of 19×19
Fig. 5. Image processing of insect embryo. (a) Original OCT image; (b) filtering; (c) local threshold segmentation(S, eggshell); (d) removal of eggshell image
Fig. 6. Comparison of OCT images before and after eggshell removing, where A represents antenna, Ab represents abdomen, FL represents fore legs, H represents head, HL represents hind legs, and ML represents mid legs. (a) Three-dimensional projection of locust egg on XY plane (include eggshell); (b) three-dimensional projection of locust egg on XY plane (erase eggshell); (c) two-dimensional cross-sectional image of locust egg on XY plane with depth of 0.67 mm; (d) two-dimensional cross-sectional image of locust egg on XY plane with depth of 0.88 mm; (e) two-dimensional cross-sectional image of locust egg on XZ plane (include eggshell); (f) two-dimensional cross-sectional image of locust egg on XY plane(erase eggshell)
Fig. 7. Embryonic development process observed on days 6 to 14 after removal of eggshell, where Y represents yolk, EM represents embryo, Ab represents abdomen, and H represents head
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Tongtong Mai, Liya Wei, Steve Yao X., Ya Su, Xiuli Wang, Lijun Yang. Image Processing Method of an Insect Embryo Based on Optical Coherence Tomography[J]. Chinese Journal of Lasers, 2021, 48(9): 0907002
Category: biomedical photonics and laser medicine
Received: Aug. 28, 2020
Accepted: Nov. 19, 2020
Published Online: Apr. 26, 2021
The Author Email: Su Ya (suya@hbu.edu.cn)