A position-independent rapid detection and identification method of symptoms specifically comprises the following steps of (1) roughly sorting medical images according to attributes thereof, and obtaining medical image samples having the same attribute; (2) for the medical image samples having the same attribute, extracting textural features and shape features of the symptom by using an image processing technology, and obtaining feature description of the symptom; (3) performing Hash coding on textural feature vectors and the shape features which are obtained in the step (2), obtaining unique coding values of the symptom, and storing the unique coding values to form a Hash coding table; and (4) performing character similarity matching on an input image symptom and the symptom coding values in the Hash coding table by utilization of a KMP algorithm when retrieval and query are carried out, and outputting a query result according to descending order of the similarity. Symptom detection and identification are achieved on basis of the image processing technology and the Hash coding technology, and the method has the characteristics that query speed is fast, operation is simple and efficient, accuracy is high, and more valuable information of image data can be effectively excavated.
Position-independent rapid detection and identification method of symptoms