Retrieval method research for medical images based on graded retrieving policy
Jingrui Liu · Beijing shengwu yixue gongcheng · 2007
It is useful that a doctor consults analogical cases to diagnose for a patient.So it is very important for doctors to quickly and exactly search out the similar pathologica images from large numbers of images in clinic.This paper presents a new method for medical images retrieval based on graded retrieving policy. First, the four classical texture features, including texture energy, texture entropy, texture inertial moment and local texture calmness, are calculated based on the co-occurrence matrix of the image, and utilized to accomplish the elementary retrieval. Second, the method makes use of the projection vector of the object outline using Canny edge operator to breed out the false alarms of the first retrieval. Experiment results show that the method can achieve fairly high precision and recall.