abstract |
Various embodiments of the invention relate to a system 100 and method 200 for image analysis. In particular, various embodiments of the present invention relate to a system 100 and method 200 for extracting low intensity features from an image data set that includes data corresponding to a sequence of original image frames 502, 504, 506, 508, 510. . One such method 200 determines a plurality of principal components PC1, PC2, PC3, PC4, PC5, PC6 from an image data set corresponding to an original image frame 202, and a plurality of principal components PC1, PC2, PC3, PC4, Applying a principal component analysis (PCA) filter to PC5 and PC6 to discard one or more principal components PC1 from the plurality of principal components PC1, PC2, PC3, PC4, PC5, PC6 Determining 204 and transforming 206 the filtered data set to produce 206 filtered multiple image frames 402, 404, 406, 408, 410 with enhanced low intensity features. [Selection] Figure 2 |