四川轻化工大学学报（自然科学版）2026，Vol.39Issue(1)：35-44,10.DOI:10.11863/j.suse.2026.01.04
基于RGBD图像色调映射的分割算法研究
Study of the Segmentation Algorithm Based on RGBD Image Tone Mapping
摘要
Abstract
To solve the issue of poor image segmentation results caused by high background complexity and different lighting conditions,the multi-feature fusion Gaussian adaptive threshold segmentation algorithm based on RGBD image tone mapping is proposed.Initially,the improved Mantiuk algorithm is used to perform tone mapping on high dynamic range RGBD images,enhancing the local area contrast of the image and limiting the extent of contrast enhancement,thus improving the image's background complexity and lighting indicators.Subsequently,the eight-directional gradients of the L,A,and B channels from the low dynamic range image are integrated with the depth gradients,depth normal vectors,and depth information features to form a multi-feature fusion map.A local threshold is calculated using a mechanism based on the spatial proximity of pixels within the neighborhood of the central pixel and the similarity of pixel fusion values,to dynamically determine whether they belong to the foreground or background,thereby performing foreground segmentation.Finally,experimental comparisons are conducted.Compared with three algorithms such as superpixel methods,the multi-feature fusion Gaussian adaptive threshold segmentation algorithm achieved an accuracy of 99.25%,a precision of 98.84%,a recall of 97.46%,and an F1 score of 98.08%on different test sets,demonstrating strong precision and robustness.关键词
RGBD图像/色调映射/多特征融合/前景分割Key words
RGBD image/tone mapping/multi-feature fusion/foreground segmentation分类
信息技术与安全科学引用本文复制引用
张兵,詹旭,唐青林..基于RGBD图像色调映射的分割算法研究[J].四川轻化工大学学报（自然科学版）,2026,39(1):35-44,10.基金项目
四川省科技厅重点研发项目(2022YFS0554) （2022YFS0554）
