发明名称 STRUCTURE-GUIDED AUTOMATIC LEARNING FOR IMAGE FEATURE ENHANCEMENT
摘要 A structure-guided automatic learning system for image feature enhancement uses a learning image (200) together with an application domain structure and detection target specification (206) to produce a feature enhancement image processing recipe (204). An enhancement goodness measure is used to select between alternatives in the learning process. The feature enhancement recipe is used in an application module to process input images and produce a feature enhanced image output. Calipers are used for application domain structure and detection target specification. To unify the processing steps for all caliper specifications, a non-directional box caliper defined region such as a circle caliper or an arc caliper or other connected structures can be converted into a directional box caliper defined region so that a directional box caliper based feature enhancement method can be applied. The process can be inverted to convert a converted directional box caliper region back to the original format.
申请公布号 WO02077913(A1) 申请公布日期 2002.10.03
申请号 WO2001US49244 申请日期 2001.12.18
申请人 LEE, SHIH-JONG;OH, SEHO 发明人 LEE, SHIH-JONG;OH, SEHO
分类号 G06K9/00;G06K9/46;G06T5/00;(IPC1-7):G06K9/40 主分类号 G06K9/00
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