基于支持向量聚类的多聚焦图像融合算法.

从无监督机器学习角度提出了一种基于SVC(support vector clustering)的图像融合规则,解决了基于

SVM(support vector machine)的融合规则在处理多聚焦图像融合问题时所引起的区域混叠与非平滑过渡问题,进一步提高了融合图像的质量.-Based on support vector clustering algorithm for multi-focus image fusion. Never oversight perspective of Machine Learning Based SVC (support vector clustering) of the image fusion rules, to resolve based on SVM (support vector machine) the integration of the rules deal with multi-focus at image fusion problem arising from the regional-aliasing problem with non-smooth transition to further enhance the integration of image quality.