Correlation properties of sea surface images on video stream frames

سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 27

فایل این مقاله در 8 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_IJNAA-14-12_028

تاریخ نمایه سازی: 17 دی 1402

چکیده مقاله:

The work is devoted to the characteristic properties analysis of the sea surface image on video stream frames, which makes it possible to make a decision about the detection of object images on them in the absence of a priori information about objects, which is important in the development of navigation systems, security and surveillance systems. In this paper, it is proposes to analyze the values of the normalized cross-correlation coefficients of a given image fragment with higher dimension fragments on sequential video stream frames to identify the distinctive properties of the agitated sea surface and floating objects images. The computational experiments were carried out and have shown that the analysis of the results of calculating the frame fragments cross-correlations allows us to estimate the amount of displacement and distortion of a given image fragment. The results of computational experiments demonstrate the presence of differences in the values of the corresponding cross-correlation coefficients for the sea surface images with different agitation degrees, containing and not containing an image of the object. Based on the analysis of the proposed correlation properties of the sea surface images, a decisive rule for selecting fragments of frames containing an image of an object is formulated, the use of which, in many cases, allows to detection of fragments of object images correctly.

نویسندگان

Daria A. Chernomorets

Belgorod State University ۸۵, Pobedy St., Belgorod, ۳۰۸۰۱۵, Russia

Victor Golikov

Universidad Autónoma del Carmen, Calle ۵۶ No. ۴ Esq Avenida Concordia Col, Benito Juàrez, Del Carmen, Campeche, ۲۴۱۸۰, Mexico

Tatyana N. Balabanova

Belgorod State University ۸۵, Pobedy St., Belgorod, ۳۰۸۰۱۵, Russia

Ekaterina I. Prokhorenko

Belgorod State University ۸۵, Pobedy St., Belgorod, ۳۰۸۰۱۵, Russia

Evgeniya V. Bolgova

Belgorod State University ۸۵, Pobedy St., Belgorod, ۳۰۸۰۱۵, Russia

Andrey A. Chernomorets

Belgorod State University ۸۵, Pobedy St., Belgorod, ۳۰۸۰۱۵, Russia

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • H. Bay, A. Ess, L.V. Gool, and T. Tuytelaars, SURF: ...
  • G. Carneiro and D. Lowe, Sparse flexible models of local ...
  • V. Golikov and O. Lebedeva, Adaptive detection of subpixel targets ...
  • V. Golikov, M. Rodriguez-Blanco, and O. Lebedeva, Robust multipixel matched ...
  • V. Golikov, O. Samovarov, E. Zhilyakov, J.L. Rullan-Lara, and H. ...
  • R.C. Gonzales and P. Wintz, Digital Image Processing, Addison-Wesley Longman ...
  • A. Goshtasby, S.H. Gage, and J.F. Bartholic, A two-stage cross ...
  • R.M. Haralick and L.G. Shapiro, Computer and Robot Vision, Addison-Wesley, ...
  • B.K.P. Horn and B.G. Schunck, Determining optical flow, Artif. Intell. ...
  • R. Kerekes and B.V. Kumar, Enhanced video-based target detection using ...
  • L.L. Scharf and B. Friedlander, Matched subspace detectors, IEEE Trans. ...
  • C. Stauffer and W.E.L. Grimson, Adaptive background mixture models for ...
  • J. Theiler, Quantitative comparison of quadratic covariance-based anomalous change detectors, ...
  • Y.C. Tzeng, D.M. Chu, M.F. Wu, and C. Kun-Shan, Automatic ...
  • Z. Wang and J.-H. Xue, The matched subspace detector with ...
  • E.G. Zhilyakov, A.A. Chernomorets, E.V. Bolgova, and A.N. Kovalenko, Image ...
  • E.G. Zhilyakov, A.A. Chernomorets, E.V. Bolgova, D.V. Ursol, and E.I. ...
  • E.G. Zhilyakov, V. Golikov, D.A. Chernomorets, O.I. Samovarov, and S.L. ...
  • نمایش کامل مراجع