Automatic Position Annotation of Brain CT Axial Slice for Content-Based Image Retrieval

Anatomy position annotation of brain CT axial slice is an important step in content-based image retrieval. In this paper, we provide an efficient approach to automatically estimate the approximate anatomy position of brain CT axial slices in two steps: First, decide whether the input image is encephalic image or nasal cavity image using vote scheme based on the classification results with features extracted by Gabor filter, Sobel operator and gray-level co-occurrence matrix (GLCM) respectively; Second, annotate the approximate anatomy position of encephalic images using nonnegative tensor factorization (NTF). The approach has 99% accuracy in distinguishing between encephalic images and nasal cavity images and over 90% accuracy in automatic position annotation of encephalic images.