The main goal of content based image retrieval is to efficiently retrieve images that are visually similar to a query image. This paper proposes a methodology for CBIRof Infarct (Brain). The maximum accuracy in classification of Infarct was 85% achieved by PCA. Our experimental result shows that the proposed technique outperforms the other existing Histogram Bin Technique and Combination of PCA& Histogram Bin with better accuracy.

Keywords: PCA, Histogram Bin, Eigenvector, Eigenvalue, Covariance matrix.