Enhancement of Biopeckle Laser Samples Using Algorithms Based On Histogram Equalization

Authors

  • J. Palacios
  • J. Florentin
  • J. C. Mello-Román Universidad Americana
  • J. L. Vázquez Noguera Universidad Nacional de Asunción
  • E. Herrera Universidad Nacional de Asunción

Keywords:

Biospeckle laser, Image enhancement, Histogram equalization, Contrast enhancement, Bioactivity visualization

Abstract

The biospeckle laser is a non-invasive technique. This technique helps to monitor changes and measure activity in biological samples. In the generation of high quality food, this technique allows us to inspect the quality and safety of food. Speckle pattern images have problems of saturation, low contrast, among others. These problems can be mitigated using image enhancement techniques. This work presents a methodology for correction and enhancement of details in the biospeckle output image using image processing techniques. First, the algorithms will be applied to the sequence to minimize the loss of information. Then, the graphical method of speckle AVD is used with the modified images to finally obtain the activity map. Finally, the obtained result is evaluated objectively. The numerical and visual results show that contrast enhancement techniques can help to better visualize bioactivity in seeds.

Downloads

Download data is not yet available.

References

J. C. Mello Román, J. L. Vázquez Noguera, H. Legal-Ayala, D. Pinto-Roa, S. Gomez-Guerrero, and M. García Torres. “Entropy and Contrast Enhancement of Infrared Thermal Images Using the Multiscale Top-Hat Transform”. In: Entropy 21.3 (2019), p. 244. doi: 10.3390/e21030244.

H. Rabal and R. Braga. Dynamic Laser Speckle and Applications. CRC Press, 2018. isbn: 9781315219080.

Z. Wang, A.C. Bovik, H.R. Sheikh, and E.P. Simoncelli. “Image Quality Assessment: From Error Visibility to Structural Similarity”. In: IEEE Transactions on Image Processing 13.4 (2004), pp. 600–612. doi: 10.1109/tip.2003.819861.

J. Zhu, B. Sun, J. Cai, Y. Xu, F. Lu, and H. Ma. “Inspection and classification of wheat quality using image processing”. In: Quality Assurance and Safety of Crops and Foods 15.3 (2023), pp. 43–54. issn: 1757-8361. doi: 10.15586/qas.v15i3.1220.

K. Zuiderveld. “Contrast Limited Adaptive Histogram Equalization”. In: Graphics Gems. Elsevier, 1994, pp. 474–485. doi: 10.1016/b978-0-12-336156-1.50061-6.

Downloads

Published

2025-01-20