Research on Image Segmentation Method of Trace Evidence Based on U2-Net
A simple and powerful deep network architecture U2-Net was designed to address the issues of low accuracy,large model size,and difficult deployment in trace evidence detection methods.This architecture was used to study image segmentation methods for trace evidence.This architecture is specifically designed to handle image segmentation tasks in complex backgrounds.U2-Net adopts a novel nested U-shaped structure,which can accurately identify and segment key objects in trace evidence images through multi-scale feature extraction and deep level information fusion.This method demonstrates superior performance in the recognition and extraction of trace evidence,especially in processing highly complex or blurry images,which can effectively improve the accuracy of segmentation and the ability to restore details.
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