人眼视觉特性引入粗糙集图像增强的研究与仿真

粗糙集理论作为研究不确定完善问题的一种新型数学工具，已经在许多领域得到广泛应用。在数字图像处理领域中，可以用来改善图像显示的质量和效果。在实际改善图像质量以提高其视觉效果时仅仅采用一种预处理方法是不够的。综合人眼的视觉特性和噪声特性，使用粗糙集理论来增强图像的显示效果较一般的方法有更大的优势。仿真结果表明采用基于粗糙集理论的新算法能取得更好的增强效果。

STUDY & SIMULATIONS OF VISION PERFORMANCE APPLIED IN ROUGH SETS IMAGE ENHANCEMENT

As a new mathematic tool that can settle the problems of something uncertain rough sets theory has been applied in the digital image processing.But the only pretreatment is not enough to ameliorate the quality of the image.Considered synthetically vision performance and noise performance,rough sets can play an important role in the image enhancement.Simulation shows that the new algorithm is an apt method and can get better effect of image enhancement.