International Journal of Multimedia Computing, 2021, 2(1); doi: 10.38007/IJMC.2021.020104.
Chongqing University, Chongqing, China
With the rapid development of multimedia and Internet in today's society, embedded Linux system also involves many places, and the application of digital microscope is also reused in many industrial manufacturing areas. The main purpose of this paper is to complete the research and implementation of digital microscope image acquisition system based on Embedded Linux, including image acquisition card, logic function, hardware circuit design and image acquisition system. In this paper, the CMOS digital camera is used to connect the CMOS digital camera with the computer through the transmission network, so as to collect the data. In the image preprocessing, the adaptive method based on mean and variance is implemented to correct the gray level of the collected image to avoid high error. In the image registration, the registration algorithm is used to smooth the mosaic place. Then, Sobel algorithm is used to carry out the color transition step by step to eliminate the gap in the image and realize the microscopic image mosaic. The results are as follows: the overall design scheme of the system is designed; the circuit board of digital microscope image acquisition and processing unit based on Embedded Linux is realized; image mosaic is realized by using image preprocessing, registration algorithm and fusion technology, In order to improve the quality of digital microscope image acquisition; through the feasibility test of the system, it is concluded that the performance of the embedded Linux digital microscope image acquisition system proposed in this paper is good, which is worthy of wide application.
Embedded Linux System, CMOS Image Recognition, Digital Microscope, Image Acquisition
Fengqin Jing. Research and Implementation of Digital Microscope Image Acquisition System Based on Embedded Linux. International Journal of Multimedia Computing (2021), Vol. 2, Issue 1: 42-52. https://doi.org/10.38007/IJMC.2021.020104.
 Eldahshan, K., Youssef, M., Masameer, E., & Hassan, M. (2015). Comparison of segmentation framework on digital microscope images for acute lymphoblastic leukemia diagnosis using rgb and hsv color spaces. Biotechnology & Bioengineering, 2(2), 142-5.
 Nguyen, T., Bui, V., Lam, V., Raub, C. B., & Nehmetallah, G. (2017). Automatic phase aberration compensation for digital holographic microscopy based on deep learning background detection. Optics Express, 25(13), 15043-15057. DOI: 10.1364/OE.25.015043
 Delgado, R., Hong, C. H., Shin, W. C., & Choi, B. W. (2015). Implementation and performance analysis of an ethercat master on the latest real-time embedded linux. International Journal of Applied Engineering Research, 10(24), 44603-44609. DOI: 10.1002/1097-0142(196302)16:2<205::AID-CNCR2820160210>3.0.CO;2-#
 Olivier, P., Boukhobza, J., & Senn, E. (2015). Read-ahead efficiency for raw nand flash storage in embedded linux. Acm Sigbed Review, 11(4), 43-48.
 Fu, W., & Narayan, D. (2019). Optimization algorithm for embedded linux remote video monitoring system oriented to the internet of things (iot). Discrete & Continuous Dynamical Systems, 12(4&5), 1341-1354.
 Lin, X., Wang, Y., Chang, N., & Pedram, M. (2016). Concurrent task scheduling and dynamic voltage and frequency scaling in a real-time embedded system with energy harvesting. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 35(11), 1890-1902. DOI: 10.1109/TCAD.2016.2523450
 Rüdiger R. Meyer, & Kirkland, A. I. (2015). Characterisation of the signal and noise transfer of ccd cameras for electron detection. Microsc Res Tech, 49(3), 269-280.
 Takahashi, K., Ozawa, K., & Mizunuma, M. (2015). Adiabatic dynamic cmos logic circuit. ICE technical report. Electron devices, 97(5), 50-58.
 Deng, B., Liu, C., Chen, J., Chen, K., Gong, D., & Guo, D., et al. (2015). Jtag-based remote configuration of fpgas over optical fibers. Journal of Instrumentation, 10(01), C01050-C01050.
 Azim, T., Riva, O., & Nath, S. (2017). Ulink. Getmobile Mobile Computing & Communications, 20(4), 34-38.
 Li, Y., Li, L., Cheng, X., & Zhao, X. (2017). Microscopic properties of mg in li and nb sites of linbo3 by first-principle hybrid functional: formation and related optical properties. Journal of Physical Chemistry C, 121(16), 8968-8975.
 Nguyen, A. H., Pickering, M. R., & Lambert, A. (2016). The fpga implementation of a one-bit-per-pixel image registration algorithm. Journal of Real-Time Image Processing, 11(4), 799-815. DOI: 10.1007/s11554-014-0420-3
 Huang, L. J., Liu, Q. H., Tang, J., & Li, P. (2015). Scratch line detection and restoration based on sobel operator. International Journal of Grid & Utility Computing, 6(2), 67-73.
 Zareba, W., & Bayes, d. L. A. (2015). Qt dynamics and variability. Annals of Noninvasive Electrocardiology, 10(2), 256-262.