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基于三角模融合准则的滤波算法 被引量:2

Image Filtering Based on Triangle Module Fusion Criterion
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摘要 本文针对线性和非线性混合滤波技术的不足 ,提出了一种基于三角模融合算子的混合滤波算法 .此算法根据信息融合的竞争性、互补性、冗余性的特点 ,运用三角模算子对边界点进行融合判断 ,从而根据融合结果 ,进行混合滤波 .本算法很好地克服了单源判别边界点误报风险大、可靠性和容错性差的弊端 ,改进了滤波性能 .后续实验证明了本算法的有效性 。 A new hybrid filter algorithm based on triangle modulus fusion operator was proposed to overcome the shortcomings of the hybrid linear and nonlinear filter techniques. Based on the properties of competition, complementation and redundancy of information fusion, this algorithm makes fusion decision about the boundary point using the triangle modulus operator, then performs hybrid filtering based on the fusion results. This new algorithm can overcome the shortcomings of the decision with single source, i.e., high error risk, low reliability and fault tolerance, therefore improve the filter performance very well. The following experiments demonstrate the validity of this new algorithm and prove that it provides a novel approach for image filter technology.
出处 《电子学报》 EI CAS CSCD 北大核心 2004年第6期886-889,共4页 Acta Electronica Sinica
基金 国家自然科学基金 (No .60 30 2 0 0 6)
关键词 信息融合 三角模算子 最小错误概率准则 聂曼-皮尔逊准则 混合滤波 Algorithms Computer simulation Probability Sensor data fusion Signal filtering and prediction
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