Image Stitching Method of Non-Ferrous Smelting Scene Based on SIFT Algorithm and Color Constancy

摘要

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.