Abstract：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.
闵超波，张俊举，常本康，孙斌，李英杰，刘磊. 无需先验知识的红外显著性目标分割评价准则[J]. 模式识别与人工智能, 2013, 26(12): 1106-1114.
MIN Chao-Bo, ZHANG Jun-Ju, CHANG Ben-Kang, SUN Bin, LI Ying-Jie, LIU Lei. An Evaluation Criterion of Salient Target Segmentation without Prior Knowledge in Infrared Image. , 2013, 26(12): 1106-1114.
2013, Vol. 26 
