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激光光斑图像增强与二值化 被引量:2

Enhancement and binary representation of laser facula
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摘要 提出了一种基于数字图像二阶方向导数的激光光斑图像增强方法,通过局部光环方向角及二阶方向导数的计算来对光环进行检测,并进行二值化处理.在像素亮度二阶方向导数计算的近似上使用了小平面模型,并对邻域的大小做了定性的描述,以提高近似精度.最后用实际激光光斑图像对提出的方法进行验证表明:无论精度和稳定性都达到设计要求. A novel approach of laser facula image enhancement and binary representation is presented, which relies on detecting aureole as image regions where the second directional derivative of the digital image is positive. A facet model is used to approximate the derivatives at each image pixel based on the intensity values of pixels located in a certain neighborhood. A qualitative description is given to increase the precision of the approximation. The approach is validated by the practical laser facula image.
作者 宁海春
出处 《哈尔滨工业大学学报》 EI CAS CSCD 北大核心 2003年第8期916-918,共3页 Journal of Harbin Institute of Technology
基金 国家自然科学基金资助项目(69977010).
关键词 数字图像 二阶方向导数 二值化 激光光斑 图像增强 激光定位 像素亮度 laser facula image enhancement image derivative binary representation
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  • 2HARALICK R M. Digital step edges from zero crossing of second directional derivatives [ J ]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1984, 6( 1 ) :58 - 68.
  • 3HARALICK R, WATSON L. A facet model for image data[ J]. Comput Graphics Image Processing, 1981,15 : 113 - 129.
  • 4TICO M, KUOSMANEN P. Weighted least squares method for the approximation of directional derivatives[ A ]. In Proc IEEE Int Conf Acoustics, Speech, Signal Processing[ C ]. Salt Lake City:[s. n. ]. 2001,3:1681- 1684.

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