The Flatfoot Automatic Classification Method Based on Image Recognition and Analysis

摘要

In this paper, the simple interface that help doctors determine the flat feet was proposed. Via using image recognition and analysis such as the Gaussian filter and the Canny edge detection, the proposed method can remove noise and process X-ray images of the foot. The individual X-ray image is divided into four blocks according to the proposed division method. According to the proposed algorithms, the system can find four decision points of each block. Based on the decision points, the system can automatically identify flat feet. The information and identification can be provided to the doctor for further manual identification. In addition, the decision point can be also manually selected. In other words, according to the selection made by the doctor, the system can have the results more accurately and objectively. The simulation has shown that the accuracy can be enhanced based on the dpi of the X-ray image.