Microsoft Word Avtoreferat (Muhiddinov M. N. Tatu)

Conformity of the research work with the priority areas of science and 
technology development of the Republic. 
This research was performed in 
accordance with the priority areas of science and technology IV – «The 
development of informatization and information communication technologies». 
The level of development of the problem.
Extensive research is being 
carried out to study development of salient objects detection and extraction, text 
detection and recognition in natural scene images, as well as computational 
algorithms and software, and the analysis of the results of computational 
experiments to identify acceptable parameters of implementation performance. 
Issues related to the creation of such methods and algorithms have been studied in 
recent years in articles published in Springer, ACM, IEEE Xplore, Сyberleninka, 
Web of Science, and Elsevier, mainly in academic journals in the IEEE Xplore and 
Scopus databases. 
This research area is dedicated to the work of scholars such as M.M.Cheng, 
L.Itti, A.Akhilish, R.Smith, Sh.Li, Y.I.Zhuravlev, L.Neumann, M.B.Medvedev, 
S.Goferman, A.C.Kuznetsov, X.Zhou, D.Bradley, B.Epshtein, C.Yao, C.Jinsoo, 
D.E.Suprun, N.Takagi, M.Jaderberg, R.Margolin, P.Felzenszwalb, T.Dutoit and 
other well-known foreign scholars. In addition, for the development of theoretical 
foundations of image processing and pattern recognition in the Republic of 
Uzbekistan M.M. Kamilov, Sh.Kh.Fozilov, N.M.Mirzaev, U.R.Khamdamov, 
S.S.Radjabov, T.S.Jumaev, A.A.Makhkamov, O.N.Djuraev and other scientists 
and researchers contributed to the research in this area. 
The results of the analysis have shown that,
despite the progress in the field of 
object extraction and text recognition from natural scene images for the visually 
impaired, detecting and extracting salient objects from natural images when 
creating tactile graphics as well as text detection and recognition from scene 
images when developing Uzbek language text-to-speech engine is insufficiently 
studied.