CONTENT-BASED INDEXING OF VOLUMETRIC IMAGES USING PRINCIPAL COMPONENT ANALYSIS

摘要

We present an indexing method for volumetric images using the Principal Component Analysis. The scatter plot of the first two components is used to develop a signature of the image set. Using this signature we can compare and recognize various images effectively. We have implemented the proposed method on a number of biomedical images.