Fuzzy region content based image retrieval and relevance feedback for medical cerebral image

Fuzzy region based image retrieval algorithms and relevance feedback algorithms have been active research areas. However, most relevance feedback algorithms can´t be used in Fuzzy region based image retrieval system because of the complexity of fuzzy similarity expression. To overcome the problem, this paper modifies the equation to calculate the fuzzy similarity and proposes a new relevance feedback method based on fuzzy features and the classical re-weighting relevance feedback algorithm. Cerebral hemorrhage CT image retrieval experiments show that the algorithm is efficient.