发明授权
- 专利标题: Structure-guided automatic learning for image feature enhancement
- 专利标题(中): 结构引导自动学习图像特征增强
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申请号: US09815466申请日: 2001-03-23
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公开(公告)号: US06507675B1公开(公告)日: 2003-01-14
- 发明人: Shih-Jong J. Lee , Seho Oh , Chi-Chou Huang
- 申请人: Shih-Jong J. Lee , Seho Oh , Chi-Chou Huang
- 主分类号: G06K940
- IPC分类号: G06K940
摘要:
A structure-guided automatic learning system for image feature enhancement uses a learning image together with an application domain structure and detection target specification to produce a feature enhancement image processing recipe. 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.
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