saliency map

基本解釋

Nonlinear sampling model is adopted and saliency map is formed based on contrast of neighboring sampling nodes.
在注意機制中采用非線性采樣模型，并利用相鄰采樣點形成顯著性圖。
According to the final saliency map, the salient regions in an image are detected. This approach has been tested on natural images.
在多幅自然圖像上進行實驗，實驗結(jié)果表明，該方法在運算速度和檢測效果方面都取得了不錯的效果。

顯著圖
Local saliency,global saliency and rarity saliency are computed for each feature map to get the feature conspicuity maps. Then these conspicuity maps are integrated to generate the saliency map.
首先提取圖像的底層視覺特征,從局部顯著性、全局顯著性和稀少性3個方面計算各特征圖像中各像素的視覺顯著性,得到各特征顯著圖;對各特征顯著圖進行綜合,生成最終的綜合顯著圖。
顯著度圖
In this thesis, we use saliency map to generate a new image assessment metric based on perceptual interest.
本文在視覺選擇性注意計算模型提取出的顯著度圖的基礎(chǔ)上,提出了一種基于視覺興趣的圖像質(zhì)量評價方法。
關(guān)注度圖