Multicamera arrangements provide wide-angle perspectives but have colour inconsistencies and seams in mosaic images, which degrade visual quality and object detection tasks. Present algorithms for colour correction are inefficient and unreliable. We introduce the Adaptive Histogram Matching (AHM) strategy, which enhances performance by segmenting images into levels with an adaptive moving window for more accurate colour corrections. A multilevel approach ensures accurate adjustments in areas with differences in detail and colour. The AHM approach is superior compared to the HHM approach, improving HSM by 34.6%, reducing MSE by 15.2%, and increasing PSNR by 9.9%, thereby preserving image clarity and colour balance more effectively. Our method effectively eliminates inconsistency and maintains image content, making it applicable to real-time computer vision, remote sensing, and medical imaging.