X-Module: An Plug-and-Play Edge Enhancement Module Based on Connectivity Data

In the field of image segmentation, addressing the limitations of existing techniques in capturing both edge details and global information in images, this paper innovatively develops a novel image segmentation algorithm module named X-Module. This technology integrates finely tailored and reassembled feature maps, deep analysis of edge connectivity, and efficient hierarchical convolutional structures, achieving significant enhancement and refinement of edge information in images. Through testing on a series of publicly available datasets using the integrated segmentation network with X-Module, the results demonstrate that this technology exhibits significant advantages over existing techniques, particularly in improving the accuracy of image segmentation and performance in edge processing, showcasing better detail recovery and object recognition capabilities.