MASOFADAN ZONDLASH ASOSIDA OLINGAN TASVIRLARDA SUPERPIKSEL SEGMENTLASH YONDASHUVLARINI BAHOLASH MEZONLARI

S.S. Radjabov; O.R. Yusupov; E.Sh. Eshonqulov

doi:10.5281/

Pdf

Published: 2024-05-18

DOI: https://doi.org/10.5281/

Keywords:

masofadan zondlash, superpiksel, yetarli boʻlmagan segmentlash xatosi, erishish mumkin boʻlgan segmentlash aniqligi, chegarani eslab qolish, kompaktlik

Radjabov S.S.

“TIQXMMI” milliy tadqiqot universiteti

Yusupov O.R.

Samarqand davlat universiteti

Eshonqulov E.Sh.

Samarqand davlat universiteti

Abstract

Ushbu ishda masofadan zondlash asosida olingan tasvirlarda superpiksel segmentlash yondashuvlarining sifatini baholash eng koʻp qoʻllaniladigan mezonlar va yondashuvlarida foydalaniladigan belgilar haqida soʻz yuritilgan.

Downloads

Download data is not yet available.

Issue

Vol. 1 No. 1 (2024): ZAMONAVIY INNOVATSION TADQIQOTLARNING DOLZARB MUAMMOLARI VA RIVOJLANISH TENDENSIYALARI: YECHIMLAR VA ISTIQBOLLAR mavzusidagi Respublika ilmiy-texnik anjuman (2024-yil 17-18-may) (2-qism)

Section

Articles

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Radjabov, S., Yusupov, O., & Eshonqulov, E. (2024). MASOFADAN ZONDLASH ASOSIDA OLINGAN TASVIRLARDA SUPERPIKSEL SEGMENTLASH YONDASHUVLARINI BAHOLASH MEZONLARI. Konferensiyalar, 1(1), 103-106. https://doi.org/10.5281/

References

105

1. Lorena Parra, Remote Sensing and GIS in Environmental Monitoring, in: Environmental Science, 2022, pp. 1-8. 2. P. Shanmugapriya, S. Rathika, T. Ramesh and P. Janaki, Applications of Remote Sensing in Agriculture - A Review, in: International Journal of Current Microbiology and Applied Sciences, 2019, pp. 2270-2283. 3. X. Ren, J. Malik, Learning a classification model for segmentation, in: Internetional Conference on Computer Vision, 2003, pp. 10-17. 4. R. Mester, U. Franke, Statiscal model based image segmentation using region growing, contour relaxation and classification, in: SPIE Symposium on Visual Communications and Image Processing, 1988, pp. 616-624. 5. O. Yusupov, E. Eshonqulov, R. Yusupov, and K. Sattarov, Analysis of superpixel segmentation approaches in remote sensing images, AIP Conferenc Proceedings, Volume 3147 6. Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., Süsstrunk, S.: Slic superpixels compared to state-of-the-art superpixel methods. IEEE Trans. Pattern Anal. Mach. Intell. 34(11), 2274-2282 (2012) 7. M. Y. Lui, O. Tuzel, S. Ramalingam, R. Chellappa. Entropy rate superpixel segmentation. Conference on Computer Vision and Pattern Recognition, 2011 8. D. Martin, C. Fowlkes, J. Malik. Learning to detect natural image boundaries using local brightness, color, and texture cues IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (5) (2004) 530–549 9. Mirzaev, O., Radjabov, S., Mirzaev, N., Rabbimov, I., & Baratov, J. (2024). Construction of statistical recognition algorithms based on two-dimensional threshold functions. Procedia Computer Science, 234, 123-130.