Acta Optica Sinica, Volume. 43, Issue 10, 1010001(2023)
Double Blur Micro-Images Focusing Evaluation Method
Fig. 2. Gaussian function standard deviation varying with gray difference. (a) Theoretical simulation results; (b) experimental verification results
Fig. 3. Edge operators (
Fig. 4. Edge computing images. (a) Lena image; (b) Sobel edge image; (c) Robert edge image; (d) Sobel-Robert edge image
Fig. 6. Wavelet transform images. (a) LL (texture information of the image); (b) LH (horizontal contour of the image); (c) HL (vertical contour of the image); (d) HH (45°and 135° contours of the image)
Fig. 11. Comparison of defocusing evaluation results of uniform plane sample series obtained by DB-FEM and 8 commonly used focusing evaluation functions. (a) Camera exposure time of 2 ms; (b) camera exposure time of 1 ms (camera exposure time affects maximum image gray value)
Fig. 12. Test sample (region 1 is without step change zone, and region 2 contains large step change zone)
Fig. 14. Comparison of experimental data. (a) No step change; (b) large step change
|
|
Get Citation
Copy Citation Text
Tao Yuan, Dingrong Yi, Wei Jiang, Yiqing Ye, Dongliang Wu, Ting Liu. Double Blur Micro-Images Focusing Evaluation Method[J]. Acta Optica Sinica, 2023, 43(10): 1010001
Category: Image Processing
Received: Nov. 7, 2022
Accepted: Dec. 16, 2022
Published Online: May. 9, 2023
The Author Email: Yi Dingrong (yidr@hqu.edu.cn)