Invention Grant
- Patent Title: Curvilinear object segmentation with noise priors
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Application No.: US16223495Application Date: 2018-12-18
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Publication No.: US10885635B2Publication Date: 2021-01-05
- Inventor: Raja Bala , Venkateswararao Cherukuri , Vijay Kumar B G
- Applicant: Palo Alto Research Center Incorporated
- Applicant Address: US CA Palo Alto
- Assignee: Palo Alto Research Center Incorporated
- Current Assignee: Palo Alto Research Center Incorporated
- Current Assignee Address: US CA Palo Alto
- Agency: Mueting Raasch Group
- Main IPC: G06T7/168
- IPC: G06T7/168 ; G06N20/00 ; G06N3/08 ; G06T5/00

Abstract:
A method for curvilinear object segmentation includes receiving at least one input image comprising curvilinear features. The at least one image is mapped, using a processor, to output segmentation maps 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 trained to suppress noise in one or more of a domain and a task of the at least one input image. The segmentation maps are produced using the transformed input image in the task module.
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