Structure-Based Technique for Object Detecting in UAV Imagery

Authors

  • David G. Asatryan Institute for Informatics and Automation Problems of NAS RA

Keywords:

UAV, Anomaly search, Image structural properties, Total segmentation, the gradient field, Proximity measure

Abstract

In this paper, the problem of automated detection of anomalies in the video, filmed in the controlled area on board of the UAV is considered. The complexity of the problem associated with the effect of multiple factors on the quality of the image is pointed out. Expediency of processing methods using the structural properties of the image, stable with respect to a number of noise and distortion is justified. We propose two approaches to use the structural properties of an image. The first approach is based on full hierarchical segmentation and simplification of the image and usage of the appropriate parameters of segments. The efficiency of the approach applied to the problem of detection of smoke and fire is shown. The second approach is based on modeling and analysis of the image gradient field. Then a method of detection of anomalies in the image is proposed. A few examples illustrating the operation of the proposed procedures are considered and effectiveness of approaches is shown.

References

R. C.Gonzales and R.E. Woods, Digital Image Processing. 2-nd Edition, Prentice Hall, 2002.

D. G. Asatryan, G.S. Sazhumyan and H. S. Shahverdyan, “Technique for coherent segmentation of image and applications”, Mathematical Problems of Computer Science, IIAP, Yerevan, Armenia, vol. 28, pp. 88-93, 2007.

[Online]. Available: http://www.rau.am/cct/

D. Asatryan and S. Hovsepyan, “Vision based technique for smoke and fire detection in monitored forest terrain”, In Proceedings of CSIT 2015, Yerevan, pp. 129-132, 2015.

D. Asatryan and K. Egiazarian. “Quality assessment measure based on image structural properties”, Proc. of the International Workshop on Local and Non-Local Approximation in Image Processing, Finland, Helsinki, pp. 70-73, 2009.

D. Asatryan, K. Egiazarian and V. Kurkchiyan, “Orientation estimation with applications to image analysis and registration”, International Journal “Information Theories and Applications”, vol. 17, no. 4, pp. 303-311, 2010.

D. Asatryan, V. Kurkchiyan and M. Bagramyan. “A method for quality assessment of image resizing algorithms”, Mathematical Problems of Computer Science, vol. 36, pp. 128-132, 2012.

Д. Г. Асатрян, В. В. Куркчиян и Л. Р. Харатян, “Метод классификации текстур с использованием структурных характеристик изображения”, Компьютерная оптика, N3, с. 574-579, 2014.

D. Asatryan and M. Zakaryan, “Novel approach to content-based video indexing and retrieval by using a measure of structural similarity of frames”, International Journal "Information Content and Processing", vol. 2, no. 1, pp. 71-81, 2015.

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Published

2021-12-10

How to Cite

Asatryan, D. G. . (2021). Structure-Based Technique for Object Detecting in UAV Imagery. Mathematical Problems of Computer Science, 44, 51–58. Retrieved from http://mpcs.sci.am/index.php/mpcs/article/view/182