Implementation of max principle with PCA in image fusion for surveillance and navigation application
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Image fusion is the combination of two or more different images by using suitable algorithms to form an
output image. It provides a useful tool to integrate multiple images into a composite image. In this paper, we
present an approach that uses the principle component analysis (PCA) along with the selection of maximum
pixel intensity to perform fusion. The entropy, mutual information and the universal index based measure are
used to evaluate the performance of this fusion algorithm.
output image. It provides a useful tool to integrate multiple images into a composite image. In this paper, we
present an approach that uses the principle component analysis (PCA) along with the selection of maximum
pixel intensity to perform fusion. The entropy, mutual information and the universal index based measure are
used to evaluate the performance of this fusion algorithm.
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Com citar
Sadhasivam, Senthil Kumar et al. “Implementation of max principle with PCA in image fusion for surveillance and navigation application”. ELCVIA: electronic letters on computer vision and image analysis, vol.VOL 10, no. 1, pp. 1-10, https://raco.cat/index.php/ELCVIA/article/view/247429.