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- W4210295203 abstract "High-resolution images can be obtained by using UAV technology, but the quality of UAV images is closely related to external factors when shooting, and the quality of images determines the effect of matching images. The histogram equalization method is a common image enhancement algorithm, and it processes the image gray value of each pixel using the cumulative probability distribution function to obtain an “evenly” distributed histogram, get a clear image, and can improve image recognition. Based on this idea, this paper processes exposed UAV images by using a histogram equalization algorithm. Combined with the SIFT feature point extraction algorithm, it eliminates matching coarse using RANSAC algorithm to obtain high precision homographic matrix, which completes the UAV image matching. In this paper, a group of UAV images was selected for verification. The verification results showed that the extraction of feature points is increased by 16.2% and the information entropy of images is increased by 2.0617. Image enhancement of UAV images can improve the image matching effect." @default.
- W4210295203 created "2022-02-08" @default.
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- W4210295203 date "2021-11-03" @default.
- W4210295203 modified "2023-10-16" @default.
- W4210295203 title "Image enhancement and image matching of UAV based on histogram equalization" @default.
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- W4210295203 doi "https://doi.org/10.1109/ieeeconf54055.2021.9687650" @default.
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