KVANT TASVIRLARNI GIBRID ALGORITMLAR YORDAMIDA IShLASh

Authors

  • D.T. Muhamediyeva

    “TIQXMMI” Milliy tadqiqot universiteti

  • G.E. Ametova

    “TIQXMMI” Milliy tadqiqot universiteti

Keywords: hybrid quantum algorithm, Gabor filter, image filtering, quantum computing, quantum image

Abstract

Image processing is a one-dimensional signal processing that uses Gabor transforms and Gaussian translations and modulations. It includes steps such as image reading, editing, enhancement, segmentation, object detection, and feature analysis. Hybrid quantum algorithms for working with large amounts of data may be an effective tool for analyzing images processed in real time in the near future.

References

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