Identifying regions of interest in reading an image |
| |
Affiliation: | 1. College of Pharmacy, CMRI, Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu 702-701, Republic of Korea;2. Department of Anatomy and Histology, College of Korean Medicine, Daegu Haany University, Gyeongsan 712-715, Republic of Korea;3. Department of Molecular Medicine, CMRI, School of Medicine, Kyungpook National University, Daegu 700-422, Republic of Korea |
| |
Abstract: | The aim of this study is to develop an effective method to analyze regions of interest (ROIs). Two experiments were conducted at different times using different groups of observers with different images on different displays. Observers’ eye-movement data were collected. Fixation maps showing CIELAB L1 values were created. The ΔL1 values between the two maps were used to quantify differences in visual fields, counting methods, observer variability and repeatability between the two experiments.The results showed that fixation maps can be used to effectively analyze the distribution of eye movements between images. The ΔL1 value calculated for two fixation maps is easy to understand and computes differences based only on ROIs more effectively than differences based on the entire image. The results from the two experiments were consistent, indicating that eye-tracking data are robust for evaluating image quality. |
| |
Keywords: | Region of interest Image quality assessment Eye movement Eye-tracking device |
本文献已被 ScienceDirect 等数据库收录! |
|