CAJ | 학술논문

针对Zhai和Shah提出的原始时空显著性检测模型在空间显著性方面仅仅使用了图像的亮度信息，忽略彩色图像中的色彩信息的不足，提出了一种基于HSV颜色模型的空间显著性计算方法。该方法充分利用图像中的亮度信息和彩色信息，从像素级和区域级两个层次上进行显著性的计算。将改进的空间显著性计算与Zhai和Shah提出的时间显著性计算以及时空融合框架进行整合，检测视频中的显著目标。实验证明改进方法在光照不均和背景较复杂的情况下获取的空间显著区域和显著目标比原始方法更准确。
침대Zhai화Shah제출적원시시공현저성검측모형재공간현저성방면부부사용료도상적량도신식，홀략채색도상중적색채신식적불족，제출료일충기우HSV안색모형적공간현저성계산방법。해방법충분이용도상중적량도신식화채색신식，종상소급화구역급량개층차상진행현저성적계산。장개진적공간현저성계산여Zhai화Shah제출적시간현저성계산이급시공융합광가진행정합，검측시빈중적현저목표。실험증명개진방법재광조불균화배경교복잡적정황하획취적공간현저구역화현저목표비원시방법경준학。
The original model of spatiotemporal visual attention detection only uses intensity of image and doesn’t con-sider the color information in spatial attention model. A novel technique is proposed to get spatial saliency map. The spatial saliency is computed in two levels:pixel level and region level. The proposed technique takes advantage of intensity and color information. The results of experiment demonstrate the proposed technique get more accuracy in obtaining salient region and object detection to visual scene with unevenly illumination and complex background.