The invention relates to the technical field of boundary recognition, in particular to a
glioma boundary recognition method and
system based on
image fusion, and the method comprises the following steps: obtaining a multi-
modal brain image, constructing a fusion matrix, extracting the gray features of an
edge region and an adjacent region, recognizing
signal-
noise abnormal points, and revising a judgment standard. And adjusting the path direction and reconstructing an edge communication structure, and generating a
glioma boundary region map under fusion. According to the method, high-precision alignment among modals is realized through multi-
modal image gray scale unification and registration
processing, key details are expanded and focused by enhancing edges and regions, the recognition accuracy is improved, gray scale comparison between the edges and outer adjacent regions is introduced, the
signal distinguishing capability is enhanced, misjudgment is avoided, judgment conditions are dynamically revised according to the
signal-
noise difference, and the accuracy of recognition is improved. The method enables the recognition standard to have local adaptability, combines the path change trend to reorder and connect edge points, guarantees the continuity of a
boundary structure, integrally improves the accuracy and integrity of fuzzy boundary recognition, and enhances the
glioma contour extraction effect.