红外技术2026，Vol.48Issue(3)：324-329,6.
符号压力函数与核差结合的红外图像轮廓分割
Infrared Image Contour Segmentation Model Combining the Signed Pressure Force and Kernel Difference
摘要
Abstract
To address the issue of low contrast between targets and backgrounds in infrared images,which makes it difficult to extract target contours accurately,a novel infrared image active contour segmentation method is proposed that integrates the signed pressure force and kernel difference.First,an optimal kernel difference operator was employed to capture the boundary information from the infrared images.The signed pressure force was then fused with global and local image features,minimizing the energy function through the variational level set method and iteratively updating the level set via gradient descent flow.Second,the fused signed pressure force was combined with the kernel difference operator to update the active contour position,ensuring that the active contour aligned closely with the target edges.Finally,the level set function was evolved using a Gaussian filter to obtain the segmentation results.The experimental results demonstrate that the proposed infrared image contour segmentation model achieved an average accuracy of 92.93%,average recall rate of 93.87%,and average Dice similarity coefficient of 0.904.关键词
红外图像/主动轮廓分割/符号压力函数/核差算子/水平集变换Key words
infrared image/active contour segmentation/signed pressure force/kernel difference operator/level set transformation分类
信息技术与安全科学引用本文复制引用
李传真,周斌,王伟明,闫宁,赵明冬..符号压力函数与核差结合的红外图像轮廓分割[J].红外技术,2026,48(3):324-329,6.基金项目
河南省科技攻关项目(242102211110) （242102211110）
河南省高等学校重点科研项目(24A510013) （24A510013）
微系统技术重点实验室开放课题(6142804231002). （6142804231002）
