Invention Grant
- Patent Title: Curvilinear object segmentation
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Application No.: US17497285Application Date: 2021-10-08
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Publication No.: US11948306B2Publication Date: 2024-04-02
- Inventor: Raja Bala , Xuelu Li
- Applicant: Palo Alto Research Center Incorporated
- Applicant Address: US CA Palo Alto
- Assignee: XEROX CORPORATION
- Current Assignee: XEROX CORPORATION
- Current Assignee Address: US CT Norwalk
- Agency: Mueting Raasch Group
- Main IPC: G06T7/12
- IPC: G06T7/12 ; G06N3/08 ; G06T7/00 ; G16H30/20

Abstract:
At least one input image comprising curvilinear features is received. Latent representations of the input images are learned using a trained deep neural network. At least one boundary estimate is determined based on the latent representations. At least one segmentation estimate of the at least one input image is determined based on the latent representations. The at least one image is mapped to output segmentation maps based on the segmentation estimate and the at least one boundary estimate.
Public/Granted literature
- US20230110806A1 CURVILINEAR OBJECT SEGMENTATION Public/Granted day:2023-04-13
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