The application discloses a kind of based on multi-source sensing's
asbestos cement quality detection method, belong to image
data processing technical field, specifically include: first, the high-resolution
topography and thermodynamic image of
asbestos cement test piece are collected, and initial structure
distribution matrix is constructed to align bimodal coordinate
system;Subsequently, local pixel direction gradient is extracted, and the
tensor feature map representing
fiber direction is constructed;Then, the thermodynamic image is projected to the feature map, and the bias of heat conduction attenuation and
fiber direction is calculated to locate the cross-
modal thermal anomaly node;Then, the spatial topology graph is established with the abnormal node as the vertex, the geometric
connectivity weight is calculated, and the normal
fiber interference node is completely filtered out;Finally, the boundary profile of microcracking area is reconstructed along the connected path of the remaining vertex, and the physical coordinate sequence of structural defects is output;The present application can accurately extract and reconstruct the
microstructure defect from the extremely complex base texture, effectively solve the serious misjudgment problem caused by the image feature being submerged.