Target Edge Separation for Overlap-Robust Image Detection

The patent divides the image processing task into multiple stages: obtaining initial detection results, generating candidate regions, performing verification, and filtering false positives. This segmentation allows the system to process images efficiently by focusing computational resources on promising regions rather than analyzing every pixel uniformly, thus reducing detection time while maintaining accuracy.

The patent performs preliminary actions by pre-processing images to enhance target characteristics before main detection, and by generating candidate regions based on initial detection results. This preliminary filtering and enhancement reduces the computational burden of subsequent verification steps, enabling faster detection without sacrificing accuracy.

The patent applies different processing qualities to different regions of the image. Candidate regions identified as potential targets receive intensive verification processing, while other regions receive minimal or no processing. This local quality approach ensures high detection robustness for actual targets while avoiding unnecessary computational complexity in regions where targets are unlikely to be present.

The patent applies verification processing selectively to only those regions that are candidates for containing targets, rather than applying uniform verification to the entire image. This partial action approach maintains high detection robustness for potential targets while significantly reducing overall system complexity and computational load compared to exhaustive verification methods.

The patent segments the detection process into distinct phases: initial detection, candidate region generation, verification, and false positive filtering. Each phase uses appropriately complex algorithms matched to its specific task, allowing the system to achieve high detection precision through coordinated simple and complex operations rather than requiring all components to be highly complex.

The patent introduces intermediary steps between simple initial detection and final target confirmation, including candidate region generation and verification processes. These intermediary steps act as mediators that refine the detection results, improving precision by filtering out false positives while managing algorithmic complexity through a structured multi-stage approach rather than requiring a single complex algorithm.