2results about How to "Reduce image noise" patented technology

The present application belongs to the field of multi-modal named entity recognition, and particularly relates to a power equipment multi-modal named entity recognition method, system, device and medium. The present application adopts a co-occurrence entity method to obtain entities appearing in both text and images, which can ensure text and image matching and reduce image noise. By extracting entity triples and then adopting an entity auxiliary method, semantic information can be supplemented and semantic disambiguation can be reduced. The present application adopts the co-occurrence entity and entity auxiliary method of extracting triples, which helps to improve the multi-modal named entity recognition accuracy, accurately recognize the entities existing in the image or text, and especially performs better in data with higher image-text correlation. Meanwhile, the present application is not limited to the field of power equipment, and can be constructed into a knowledge base of other fields to expand to other fields for multi-modal named entity recognition.

The application discloses a soldering contour extraction method, device, equipment and storage medium. The method first acquires a two-dimensional image and a three-dimensional height map of a target detection object; performs image segmentation on the two-dimensional image to obtain an initial mask; modifies the initial mask based on height information in the three-dimensional height map to obtain a target mask; extracts an edge of the target mask to obtain a closed contour point sequence; performs geometric fitting on the closed contour point sequence to convert the closed contour point sequence into an initial geometric primitive sequence containing line segments and arc line segments; performs primitive position alignment and intersection reconstruction on the initial geometric primitive sequence based on a preset geometric rule to obtain a target geometric primitive sequence; and generates soldering contour data of the target detection object based on the target geometric primitive sequence. The application can improve the precision of the extracted contour data and thus improve the accuracy of SPI detection.