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景象间灰度变化的物理校正方法研究
引用本文:桑农,张天序,汪国有. 景象间灰度变化的物理校正方法研究[J]. 数据采集与处理, 1997, 0(3)
作者姓名:桑农  张天序  汪国有
作者单位:华中理工大学图象识别与人工智能研究所!武汉,430074
基金项目:国防科工委预研基金,国家教委博士点基金
摘    要:根据Phong照射模型,从景象成家机理出发,研究了不同时间条件下,同一地区景象发生灰度变化的原因,并在一定的简化模型下,研究了利用成象时的人射角对景象匹配所用参考图与实时图间的灰度变化进行物理校正,以恢复二者间共性的灰度特征的方法。文中分析了参考图与实时图间不可预知的成象条件的差异对校正结果的影响,并通过校正前后参考图与实时图间信噪比的变化,从理论上证明了校正方法的有效性。最后给出了模拟实验结果。

关 键 词:成象光学  图象处理  特征抽取

Study on the Physical Method to Correct the Intensity Changing between Two Scenes
Sang Nong, Zhang Tianxu, Wang Guoyou. Study on the Physical Method to Correct the Intensity Changing between Two Scenes[J]. Journal of Data Acquisition & Processing, 1997, 0(3)
Authors:Sang Nong   Zhang Tianxu   Wang Guoyou
Abstract:According to Phong's shading model, the authors start with scene generating mechanism and analyze the grey intensity changing reason of the same area under different time. Using a simplified model,the authors present a physical method to correct the intensity changing and resume the common grey level feature between reference image and sensed image in sence matching process. The effect of the unpredictable diflerence of imaging condition between reference image and sensed image on corrected result is analyzed. Using the variation of signal-to-noise between reference image and sensed image, the authors prove the effectiveness of the correctness method in theory.Finally, the simulation experimenta1 results are given.
Keywords:image optics  image processing  feature extraction
本文献已被 CNKI 等数据库收录!
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