孙春生, 吴军. 基于“刀刃”曲线特性的航空影像纹理视觉改善研究[J]. 武汉大学学报 ( 信息科学版), 2005, 30(3): 255-259.
引用本文: 孙春生, 吴军. 基于“刀刃”曲线特性的航空影像纹理视觉改善研究[J]. 武汉大学学报 ( 信息科学版), 2005, 30(3): 255-259.
SUN Chunsheng, WU Jun. Deblurring Texture Extracted from Digital Aerial Images by Reforming “Step Edge” Curve[J]. Geomatics and Information Science of Wuhan University, 2005, 30(3): 255-259.
Citation: SUN Chunsheng, WU Jun. Deblurring Texture Extracted from Digital Aerial Images by Reforming “Step Edge” Curve[J]. Geomatics and Information Science of Wuhan University, 2005, 30(3): 255-259.

基于“刀刃”曲线特性的航空影像纹理视觉改善研究

Deblurring Texture Extracted from Digital Aerial Images by Reforming “Step Edge” Curve

  • 摘要: 分析了光衍射、“刀刃”曲线与影像模糊三者间的相互关系,提出了自动获得墙面纹理中直线特征的亮度分布模型———“刀刃”曲线,通过重新调整曲线分布的陡峭程度来改善航空纹理视觉效果,并进行了验证,取得了较好的效果。

     

    Abstract: A method, based on reforming the “step edge” curve which clearly explains how the diffraction of sunlight makes digital aerial images blur, is proposed to deblur the texture extracted from digital aerial images and thus to improve its visual effect. First, histogram analysis and edge detection are integrated with each other to automatically find out the“step edge” curve for each line feature in texture. In this step, highly precise Canny algorithm is used to locate the central point of “step edge” curve and the two boundary points of “step edge” curve are determined by tracing the intensity histogram around located central point of “step edge” curve. As a result, “step edge” curve could be automatically precisely gained. After that, the selected “push” function anti-tangent is used to adjust the intensity of every the “step edge” curve and make it more steep around the located central point. Last, several textures extracted from digital aerial image are tested by the proposed strategy and algorithm, and the experimental result is encouraging.

     

/

返回文章
返回