Application of SLIC Superpixels Segmentation in Medical Image Processing
Medical imaging has been widely used in clinical practice, it is an important basis for medical expert to diagnose the disease. However, medical images have many unstable factors such as complex imaging mechanism, and the target displacement has a false image, the par-tial volume effect leads to error and equipment wear, which greatly increases the complexity of subsequent image processing. Based on SLIC, a superpixels segmentation algorithm is used to eliminate the influence of artifacts and noise by means of the feature similarity in the preprocessing stage. At the same time, good clustering effect can greatly reduce the complexity of the algorithm, which provides an ef-fective basis for the rapid diagnosis of experts.
NETL
NSTL
万方数据
维普
