Invention Grant
- Patent Title: Image region segmentation method and system using self-spatial adaptive normalization
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Application No.: US17126299Application Date: 2020-12-18
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Publication No.: US11605167B2Publication Date: 2023-03-14
- Inventor: Choong Sang Cho , Charles Hyok Song , Young Han Lee
- Applicant: Korea Electronics Technology Institute
- Applicant Address: KR Seongnam-si
- Assignee: Korea Electronics Technology Institute
- Current Assignee: Korea Electronics Technology Institute
- Current Assignee Address: KR Seongnam-si
- Agency: Hauptman Ham, LLP
- Priority: KR10-2020-0092125 20200724
- Main IPC: G06T7/11
- IPC: G06T7/11 ; H04N19/167 ; H04N19/176

Abstract:
An image region segmentation method and system suing self-spatial adaptive normalization is provided. The image region segmentation system includes: an encoder configured to encode an image for segmenting a region by using a plurality of encoding blocks; and a decoder configured to decode the image encoded by the encoder and to generate a region-segmented image by using a plurality of decoding blocks, wherein each of the encoding blocks processes an inputted image into a convolution layer, performs spatial adaptive normalization, and then reduces the image and delivers the image to the next encoding block. Accordingly, spatial characteristics of the image are considered in an encoding process and a decoding process, so that region segmentation can be exactly performed with respect to various images.
Public/Granted literature
- US20220028084A1 IMAGE REGION SEGMENTATION METHOD AND SYSTEM USING SELF-SPATIAL ADAPTIVE NORMALIZATION Public/Granted day:2022-01-27
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