Image Selection Interface for Automatic Clustering and Manual Refinement

The patent segments the image selection process into multiple stages: automatic sorting by clustering algorithms, hierarchical category organization, and interactive user selection interface. This segmentation allows the system to efficiently sort large volumes of images automatically while maintaining user control for final selection, resolving the contradiction between sorting efficiency and user selection capability.

The patent introduces an intermediary graphical user interface that mediates between the automatically sorted image clusters and the user's final selection. The GUI presents sorted images in organized categories with selection indicators, serving as an intermediary layer that maintains both automated sorting efficiency and user-friendly selection capability.

The patent applies preliminary action by automatically sorting and categorizing images before the user needs to select them. The system pre-processes the large volume of captured images by extracting characteristic quantities, performing clustering analysis, and organizing images into hierarchical categories in advance, so when users need to select images for saving or printing, the work has already been substantially done, making selection easy despite the large number of stored images.

The patent changes parameters by transforming the presentation of stored images from a flat, unorganized list to a hierarchical structure based on extracted characteristic quantities and clustering results. This parameter change in organization structure allows users to navigate and select images efficiently even when thousands of images are stored, resolving the contradiction between quantity stored and selection ease.

The patent applies dynamics by creating a flexible, adaptive system where the automation level can be adjusted. The system performs automatic sorting using clustering algorithms with multiple selectable criteria (such as color, texture, subject matter), and users can dynamically adjust selection parameters and review results interactively. This dynamic approach maintains high automation while preserving user control and adaptability for different selection needs.

The patent implements universality by designing a multi-functional system that combines automatic clustering algorithms with interactive user interface capabilities. The same system can operate in fully automatic mode for routine sorting tasks while also allowing user intervention and custom criteria selection when needed, making it adaptable to various user needs and maintaining both automation and user control flexibility.