KVANT TASVIRLARNI GIBRID ALGORITMLAR YORDAMIDA IShLASh

Mualliflar

  • Muhamediyeva D.T.

    “TIQXMMI” Milliy tadqiqot universiteti

  • Ametova G.E.

    “TIQXMMI” Milliy tadqiqot universiteti

Kalit so‘zlar: gibrid kvant algoritm, Gabor filtri, tasvir filtrlash, kvant hisoblash, kvant tasvir

Annotatsiya

Tasvirni qayta ishlashda Gabor transformatsiyasini va Gaussning tarjimalari va modulyatsiyalaridan foydalanadigan bir o‘lchovli signal hisoblanadi. U tasvirni o‘qish, tahrirlash, yaxshilash, segmentatsiya qilish, obyektlarni aniqlash, va ularning xususiyatlarini tahlil qilish kabi bosqichlarni o‘z ichiga oladi. Katta hajmdagi ma’lumotlar bilan ishlashga gibrid kvant algoritmlar yaqin kelajakda real vaqtda ishlov beriladigan tasvirlarni tahlil qilishda samarali vosita bo‘lishi mumkin.

Foydalanilgan adabiyotlar

1. Remondino F., Spera M.G., Nocerino E., Menna F., Nex F. State of the art in high density image matching. Photogramm. Rec. 2014, 29, -P.144–166. Google Scholar

2. Timo O., Matti P., David H. A comparative study of texture measues with classification based on featured distributions. Pattern Recognit. 1996, 29, -P. 51–59. Google Scholar

3. Jiang X., Ma J., Xiao G., Shao Z. Guo X. A review of multimodal image matching: Methods and applications. Inf. Fusion 2021, 73, 22-71. Google Scholar CrossRef.

4. Li L., Liang, J. Weng M., Zhu H. A multiple-feature reuse network to extract buildings from remote sensing imagery. Remote Sens. 2018, 10, 1350. Google Scholar.

5. Zitova B., Flusser J. Image registration methods: A survey. Image Vis. Comput. 2003, 21, 977–1000. Google Scholar CrossRef Green Version.

6. Gabor D. Theory of communication, Part III. JIEE 26(1946), -P.429-457