- 专利标题: Generating image masks from digital images utilizing color density estimation and deep learning models
-
申请号: US17146718申请日: 2021-01-12
-
公开(公告)号: US11461880B2公开(公告)日: 2022-10-04
- 发明人: Jianming Zhang
- 申请人: Adobe Inc.
- 申请人地址: US CA San Jose
- 专利权人: Adobe Inc.
- 当前专利权人: Adobe Inc.
- 当前专利权人地址: US CA San Jose
- 代理机构: Keller Preece PLLC
- 主分类号: G06T5/40
- IPC分类号: G06T5/40 ; G06T7/194 ; G06T7/12 ; G06T5/00 ; G06T7/11
摘要:
This disclosure describes methods, non-transitory computer readable storage media, and systems that utilize color density estimation in a blended boundary region of a digital image to generate an image mask. For example, the disclosed system extracts a foreground region, a background region, and a blended boundary region from a digital image. The disclosed system determines a color histogram—within a color space selected utilizing the foreground region and the background region—for a portion of the background region along an edge of the blended boundary region. Additionally, the disclosed system generates a color density map for the blended boundary region by comparing colors in the blended boundary region to colors in the color histogram of the background band. The disclosed system then generates a final mask for the digital image based on the color density map.
公开/授权文献
信息查询