多模态图像分割与增强处理方法

By employing a parallel solution strategy using multiple optimization algorithms, combined with weighted averaging or game theory methods, the limitations of sequential processing in image segmentation and enhancement are overcome. This achieves collaborative optimization of image segmentation and enhancement, improving the accuracy and robustness of multimodal image processing.

CN121640238BActive Publication Date: 2026-07-17YUNNAN AGRICULTURAL UNIVERSITY

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
YUNNAN AGRICULTURAL UNIVERSITY
Filing Date
2025-12-04
Publication Date
2026-07-17

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Abstract

本发明公开了多模态图像分割与增强处理方法,涉及图像处理技术领域;通过构建图像处理模型,将图像增强与分割建立为统一的连续过程,并构建联合优化目标函数,采用至少两种优化算法进行并行求解,获得与每种优化算法对应的至少两组最优分割参数和最优增强参数,基于所述至少两组最优分割参数和最优增强参数,通过融合策略得到最终的分割参数和增强参数,利用最终的分割参数和增强参数对多模态目标图像进行处理,输出最终的增强后的图像和分割结果,本方案打破了传统串行处理的局限,利用多算法并行与智能融合策略,有效避免了局部最优,显著提高了处理结果的准确性、稳定性和鲁棒性,特别适用于多模态医学影像等高质量处理需求场景。
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