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| An Evaluation Criterion of Salient Target Segmentation without Prior Knowledge in Infrared Image |
| MIN Chao-Bo, ZHANG Jun-Ju, CHANG Ben-Kang, SUN Bin, LI Ying-Jie, LIU Lei |
| School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology,Nanjing 210094 |
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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.
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Received: 22 November 2012
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2013, Vol. 26 
