- 专利标题: Curvilinear object segmentation with geometric priors
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申请号: US16223519申请日: 2018-12-18
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公开(公告)号: US10832413B2公开(公告)日: 2020-11-10
- 发明人: Raja Bala , Venkateswararao Cherukuri , Vijay Kumar B G
- 申请人: Palo Alto Research Center Incorporated
- 申请人地址: US CA Palo Alto
- 专利权人: Palo Alto Research Center Incorporated
- 当前专利权人: Palo Alto Research Center Incorporated
- 当前专利权人地址: US CA Palo Alto
- 代理机构: Mueting Raasch Group
- 主分类号: G06T7/11
- IPC分类号: G06T7/11 ; G06T7/168 ; G06T7/174 ; G06N20/00 ; G06N3/08 ; G06T5/20
摘要:
A method for curvilinear object segmentation includes receiving at least one input image comprising curvilinear features. The at least one input image is mapped to segmentation maps of the curvilinear features using a deep network having a representation module and a task module. The mapping includes transforming the input image in the representation module using learnable filters configured to balance recognition of curvilinear geometry with reduction of training error. The segmentation maps are produced using the transformed input image in the task module.
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