Image Stitching Method of Non-Ferrous Smelting Scene Based on SIFT Algorithm and Color Constancy ()
ABSTRACT
In non-ferrous smelting scenes, complex
environments, uneven lighting conditions, and inaccurate automatic exposure
parameters result in the panoramic image having obvious seams and significant
brightness differences in different regions. To address these issues, a
novel image stitching method based on Scale-Invariant Feature Transform (SIFT)
and color constancy theory was proposed. Initially, the input image was
preprocessed followed by feature extraction and matching. Subsequently, color
constancy processing based on matching points was performed to acquire an image
with consistent brightness to be spliced. This process was complemented by the
integration of multi-band fusion to enhance the original fusion procedure.
Eventually, a spliced image with seamless blending and even luminosity was
generated. The method proposed in this paper can obtain panoramic images that
were more suitable for human eyes to observe, and greatly improve the
subjective and objective performance of panoramic images. In the non-ferrous
smelting scene, the PSNR and SSIM scores were improved by 3.555 dB and
0.16 respectively.
Share and Cite:
Liu, Y. and Long, Y. (2023) Image Stitching Method of Non-Ferrous Smelting Scene Based on SIFT Algorithm and Color Constancy.
Open Journal of Applied Sciences,
13, 2055-2067. doi:
10.4236/ojapps.2023.1311161.
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