登入
facebook
google-plus
twitter
linkedIn
活動看板
產經情報
廠商名錄
知識分享
需求快遞
技術供應
網站連結
會員專區
聯絡AOIEA
訂閱電子報
facebook
google-plus
twitter
linkedIn
知識分享
首頁
>
知識分享
>
技術專欄
技術專欄
會員ppt
字級設定:
大
中
小
收藏
.
.
Object-of-interest image segmentation based on human attention and semantic region clustering
建立日期:2018/02/21
作者:
Byoung Chul Ko等
出處:
2006-01-06 OpticsInfoBase
內容:
We propose a novel object-of-interest (OOI) segmentation algorithm for various images that is based on human attention and semantic region clustering. As object-based image segmentation is beyond current computer vision techniques, the proposed method segments an image into regions, which are then merged as a semantic object. At the same time, an attention window (AW) is created based on the saliency map and saliency points from an image. Within the AW, a support vector machine is used to select the salient regions, which are then clustered into the OOI using the proposed region merging. Unlike other algorithms, the proposed method allows multiple OOIs to be segmented according to the saliency map.
全文請詳附加檔案連結說明。
分享本訊息:
分享到 facebook
分享到 google+
分享到 twitter
分享到 linkedin
回上頁