期刊文献+

适用于光照不均匀图像的边缘检测算法

An edge detection method insensitive to light variance in image
下载PDF
导出
摘要 首先利用图像梯度方向特征改进Canny算法,使之更适合连续边缘的检测。然后将其与基于侧抑制原理的图像增强算法结合,设计了一种新的适用于噪声背景下光照不均匀图像的边缘检测算法。算法实验结果表明该边缘检测算法能有效提取光照不均匀图像中的连续边缘。 A new edge detection algorithm is proposed to extract edges out of non-uniform weak illuminated images. First, improve the Canny algorithm using the direction of the gradient, making it more capable of detecting continuous edges. Then combine it with the image enhancing method based on lateral inhibition mechanism. Real image experiment shows that this edge detection method can extract continuous edges from no-uniform illuminated images effectively.
作者 杨赟 周进
出处 《仪器仪表用户》 2009年第3期93-94,共2页 Instrumentation
关键词 边缘检测 光照不均匀 图像增强 edge detection non-uniform illuminated image enhancement
  • 相关文献

参考文献7

  • 1Gyu-Dong Lee, Kwang-Sub Kim, Dong-Seok Jeong. Rough Edge Detection of low contrast images using consequential local variance maxima.
  • 2曹万鹏,陈刚,车仁生,叶东.一种基于小波变换的照明无关边缘检测和模糊增强方法[J].光学精密工程,2007,15(7):1143-1150. 被引量:15
  • 3Takashi Sakamoto,Toshikazu Kat. Edge Detection Method Insensitive to the Light and Shade Variance in Image.
  • 4K. Takahashi, et al. , "Adaptive dynamic range improvement algorithm for high quality image displaying", Proc. 6th. Image Sensing Sym., D-18, 139-144 (2000).
  • 5T. Sakamoto and T. Kato, " Lateral inhibition modeltaken account of the duality of receptive fields and its behavior for RGB inputs", Proc. 5th. ICONIP, 831-834(1998).
  • 6Canny J. A computational approach to edge detection [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence , 1986 ,8 (6) :679-698.
  • 7T. Sakamoto and T. Kato, "Image Enhancement and Improvement of Both Color and Brightness Contrast Based on Lateral Inhibition Method", in Lecture Notes in Computer Science 1464, Springer, 124-131 (1998).

二级参考文献15

  • 1[1]MICHA F,NIR S.Closed contour edge detection of blood vessel lumen and outer wall boundaries in black-blood MR images[J].Magnetic Resonance Imaging,1999,17(2):257-266.
  • 2[3]GUANG D,JEAN C P.Differentiation-based edge detection using the logarithmic image processing model[J].Journal of Mathematical Imaging and Vision,1998,8(2):161-180.
  • 3[4]TAKASHI S,TOSHIKAZU K.Edge detection method insensitive to the light and shade variance in image[C].Systems,Man,and Cybernetics,IEEE International Confefence,2000,3:1048-1053.
  • 4[5]LEE G D,KIM K S,JEONG D S.Rough edge detection of low contrast images using consequential local variance maxima[c].TENCON 99,Proceedings of the IEEE Region 10 Conference,1999,1:734-737.
  • 5[6]PEREZ M,PAGLIARI C,DENNIS T.A zero-crossing edge detector with improved localization and robustness to image brightness and contrast manipulations[J].Pattern Recognition,2002,23(14):1771-1784.
  • 6[7]LEE W B,KIM D,KWEON I.Automatic edge detection method for the mobile robot application[C].Proceedings of the 2003 IEEWRSJ Intl.Conference on Intelligent Robots and Systems Las Vegas,Nevada,2003:2730-2735.
  • 7[9]CLAUDIO R J,JACOB S.Adaptive image de-noising and edge enhancement in scale-space using the wavelet transform[J].Pattern Recognition Letters,2003,24(7):965-971.
  • 8[11]PEDRYCA W.Fuzzy sets in pattern recognition:methodology and methods[J].Pattern Recognition,1990,23(1):121-146.
  • 9[13]ZHOU D L,PAN Q.An improved algorithm of edge detection based on fuzzy sets[J].Journal of Image and Graphics,2001,6(4):353-358.
  • 10[14]STOCKHAM T J.Image processing in the context of a visual model[J].Proceeding of IEEE,1972,60(7):828-842.

共引文献14

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部