A Content based CT Lung Image Retrieval by DCT Matrix and Feature Vector Technique

Most of the image retrieval systems are still incapable of providing retrieval result with high retrieval accuracy and less computational complexity. Image Retrieval technique to retrieve similar and relevant Computed Tomography (CT) images of lung from a large database of images. During the process of retrieval, a query image which contains the affected area / abnormal region is given as an input to retrieve similar images which contain affected area/abnormal region from the database. DCT Matrix (DCTM) is a kind of commonly used color feature representation in image retrieval. This paper describes a content based image retrieval (CBIR) that represent each image in database by a vector of feature values called DCT vector matrix(8x8). Using this DCTM row and column feature vector values considered as a query image which is compared with existing database to cull out more similar and relevant images. The experimental result shows that 97% of images can be retrieved correctly using this technique.