AUTOMATIC READING OF A TRADE GYROCOMPASS USING IMAGE PROCESSING AND NEURAL NETWORKS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

SHAHGOLI B.; MOALLEM P.; KAVOSH TEHRANI M.; PARVIN JAHROMI SH.; HOSSEINI S.A.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Space Science and Technology Year:2014 | Volume:7 | Issue:2 Page(s): 85-92

Download Full-Text

Persian Verion

View:

470

Download:

Cites:

Information Journal Paper

Title

AUTOMATIC READING OF A TRADE GYROCOMPASS USING IMAGE PROCESSING AND NEURAL NETWORKS

Author(s)

Keywords

MOTION ANALYSISQ2

MORPHOLOGYQ3

EDGE DETECTIONQ2

MULTILAYER PERCEPTRONQ1

LEARNING VECTOR QUANTIZATIONQ2

Abstract

Gyrocompass is used to justify and aim (orient) the missiles; it is used in equipment and accuracy of launch position as well to find azimuth in particular points. Observations and reading in this kind of compass are done optically which suffers from low accuracy and optical illusion. In this paper a simple algorithm is suggested by utilizing methods based on processing digital image and neural networks for automatic reading of a trade gyrocompass. In the method at first, by analyzing the difference of sequential images taken from the compass display, the back frame is specified. Then the display region is extracted by EDGE DETECTION and MORPHOLOGY operation. After that the segmented numbers are recognized one by one through the trained neural networks. Finally, the gyrocompass angle is calculated accompanied by accuracy of arc second by geometric analysis of relative position of scaled board and indicated index. The usage of suggested method in the step of back frame recognition has been evaluated on 6 real test video sequences and the next steps have also been evaluated on more than 300 real images.

Cites

No record.

References

No record.

Cite

APA: Copy

SHAHGOLI, B., MOALLEM, P., KAVOSH TEHRANI, M., PARVIN JAHROMI, SH., & HOSSEINI, S.A.. (2014). AUTOMATIC READING OF A TRADE GYROCOMPASS USING IMAGE PROCESSING AND NEURAL NETWORKS. JOURNAL OF SPACE SCIENCE AND TECHNOLOGY (JSST), 7(2 ), 85-92. SID. https://sid.ir/paper/149928/en

Vancouver: Copy

SHAHGOLI B., MOALLEM P., KAVOSH TEHRANI M., PARVIN JAHROMI SH., HOSSEINI S.A.. AUTOMATIC READING OF A TRADE GYROCOMPASS USING IMAGE PROCESSING AND NEURAL NETWORKS. JOURNAL OF SPACE SCIENCE AND TECHNOLOGY (JSST)[Internet]. 2014;7(2 ):85-92. Available from: https://sid.ir/paper/149928/en

IEEE: Copy

B. SHAHGOLI, P. MOALLEM, M. KAVOSH TEHRANI, SH. PARVIN JAHROMI, and S.A. HOSSEINI, “AUTOMATIC READING OF A TRADE GYROCOMPASS USING IMAGE PROCESSING AND NEURAL NETWORKS,” JOURNAL OF SPACE SCIENCE AND TECHNOLOGY (JSST), vol. 7, no. 2 , pp. 85–92, 2014, [Online]. Available: https://sid.ir/paper/149928/en

Related Journal Papers