为了在无先验知识的情况下，客观评价红外图像中显著性目标分割效果，文中提出一种无需先验知识的红外目标分割评价准则。针对红外图像中显著目标的特性，建立3种评价指标：局部视觉亮度差指标、全局视觉显著性指标和亮度波动性指标，这3种指标分别对应于分割前景局部区域的视觉亮度对比度、分割前景在全局背景下的视觉显著程度和分割前景内部亮度的一致性程度。综合3种指标，建立红外目标分割的评分准则。实验证明文中准则的评价结果能较好地符合主观人眼视觉感知与客观实际，适用于无先验知识的红外目标分割评价。%A metric is presented for performance evaluation of salient target segmentation without prior knowledge in infrared image. According to the characteristics of salient targets in infrared images, three evaluation indexes, local illumination difference, degree of global salience and wave character of illumination, are proposed. They indicate the illumination contrast between the segmented foregrounds and corresponding local backgrounds, the degree of salience of the segmented foregrounds under the global backgrounds and the consistency of illumination of the segmented foregrounds, respectively. Finally, an evaluation criterion which consists of the proposed three indexes to measure the performance of salient target segmentation in infrared images is constructed comprehensively. Experimental results show that the proposed criterion provides an effective objective quality evaluation for salient target segmentation without prior knowledge in infrared images, which is consistent with human perception and objective fact.
展开▼
