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具有光照强度不变性的显微细胞图像处理算法 被引量:5

Microscopic cell image processing algorithm invariant to light resource intensi ty
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摘要 显微图像受光源光照强度的影响很大,研究了不受光照强度影响的显微细胞图像的增强技术。对显微灰度图像,用Top Hat算法对细胞进行了突出;对于显微彩色图像,先由图像的RGB空间变换到IHS(Intensity,HueandSaturation)空间,然后,通过对分量提取细胞的颜色信息。实验表明,以上两种方法消除了光照强度变化对图像的影响。 The microscopic image is affected greatly by the intensity of light re source. For a gray image, OPENCLOSE transform of gray-scale morphology is used t o erase the high frequency noise, and Top-Hat transform is used to enhance cell s . For color image, RGB space is transformed to IHS space, and then the value of H is used to enhance cells. The experimental results show that the algorith m eliminates the affection of light intensity variation.
出处 《光学技术》 CAS CSCD 2003年第5期575-577,580,共4页 Optical Technique
基金 国家自然科学基金(60272094) 山东省自然科学基金(Y2001G10)的资助
关键词 显微图像 图像增强 光照强度不变性 Top-Hat算法 彩色空间 显微细胞图像 颜色信息 microscopic image image enhancement light intensity invariant Top-Hat algori thm color space
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参考文献9

  • 1郝允祥 陈遐举 张保洲.光度学[M].北京:北京师范大学出版社,1987.50-70.
  • 2曹茂永,郁道银.高灰度分辨率图像的伪彩色编码[J].光学技术,2002,28(2):115-117. 被引量:16
  • 3郁道银,张宏,李云青,王文隽.一种新的适用于彩色图像处理的彩色空间变换方法[J].光学学报,1995,15(5):576-579. 被引量:7
  • 4曹茂永,郁道银,烟玉芹,郑力新.基于IHS空间的灰度图像互补色伪彩色编码[J].光电工程,2002,29(2):63-66. 被引量:9
  • 5Koss L G. Automated cytology and histology, A historical perspective[J]. Anal Quantum Cytol, 1987, (9) :374.
  • 6Thlran J P, Mseq B. Morphological feature extraction for the classification of digital irr~es of cancerous tissues[J]. IEEE Trans, On Biomedical Engineering, 1996,43(10) : 1011.
  • 7Dougherty E R. An instruction to mathematical morphology[M]. First Edition. Washington USA: SPIE Optical Engineering Press,1992. 123-140.
  • 8Strikland R N. Digital color irmge enhancement based on the saturation component[J]. Opt Eng., 1987,26(7) :610.
  • 9Cao M Y, Yu D Y. Computer pseudo - color coding of gray image based on IHS space[A]. CAD/Graphics/Proceedings of the 7 - th International Conference On Computer Aids Design and Computer Graphics[C]. KunMing, China: International Academic Publishers, World Publishing Corporation,2001.846-849.

二级参考文献10

  • 1蒋继旺 王荣 等.应用色度学[M].北京:解放军出版社,1994.53-76.
  • 2[1]Castleman K R. Digital image processing[M]. Englewood Cliffs: Prentice Hall, Inc,1998.
  • 3[2]Niblack W. An introduction to digital image processing[M]. Englewood Cliffs: Prentice Hall International, 1986.
  • 4[3]Jain A K. Fundamentals of digital image processing [M]. Englewood Cliffs: Prentice Hall, Inc,1989.
  • 5[4]Gonzalez R C, Paul W. Digital image processing[M]. Massachusetts:Addison-Wesley publishing company,1977.
  • 6[5]Cao Maoyong, Sun Nongliang, Yu Daoyin. Computer pseudo-color equi-density coding of gray image based on tri-primary colors of RGB and pixel's self-transformations[J]. SPIE, 2001,4551:265-268.
  • 7[6]Dai J B, Zhou S X. Computer aid pseudo-coloring coding of gray image-complementary coloring coding technique[J]. SPIE, 1996,2896: 181-191.
  • 8汤顺青,色度学,1990年
  • 9束越新,颜色光学基础理论,1981年
  • 10荆其诚,色度学,1979年

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