The Experts below are selected from a list of 297 Experts worldwide ranked by ideXlab platform

Kok Swee Sim - One of the best experts on this subject based on the ideXlab platform.

  • Improvement to the scanning electron Microscope Image adaptive canny optimization colorization by pseudo-mapping
    Scanning, 2014
    Co-Authors: Kok Swee Sim, Chih Ping Tso, M. E. Nia
    Abstract:

    An improvement to the previously proposed adaptive Canny optimization technique for scanning electron Microscope Image colorization is reported. The additional feature, called pseudo-mapping technique, is that the grayscale markings are temporarily mapped to a set of pre-defined pseudo-color map as a mean to instill color information for grayscale colors in chrominance channels. This allows the presence of grayscale markings to be identified; hence optimization colorization of grayscale colors is made possible. This additional feature enhances the flexibility of scanning electron Microscope Image colorization by providing wider range of possible color enhancement. Furthermore, the nature of this technique also allows users to adjust the luminance intensities of selected region from the original Image within certain extent.

  • Improvement to the scanning electron Microscope Image colourization by adaptive tuning
    Journal of Microscopy, 2009
    Co-Authors: Kok Swee Sim, H.y. Ting, M.a. Lai, Chih Ping Tso
    Abstract:

    An improvement to the previously proposed Canny optimization technique for scanning electron Microscope Image colorization is reported. The additional process is adaptive tuning, where colour tuning is performed adaptively, based on comparing the original luminance values with calculated luminance values. The complete adaptive Canny optimization technique gives significantly better mechanical contrast on scanning electron Microscope grey-scale Images than do existing methods.

  • Canny optimization technique for electron Microscope Image colourization.
    Journal of microscopy, 2008
    Co-Authors: Kok Swee Sim, Chih Ping Tso, H.y. Ting
    Abstract:

    Images of scanning electron Microscope are usually in the monochrome mode. A simple and user-friendly approach is proposed to improve the mechanical contrast of the scanning electron Microscope grey Images. Also, most colourization techniques involve Image segmentation or region tracking, which tend to degrade the Image with fuzzy or complex region boundaries. A technique is proposed, which is a hybrid between the Canny edge detection technique and the optimization technique. Compared with existing methods, the new Canny optimization technique gives satisfactory results for scanning electron Microscope Images.

Chih Ping Tso - One of the best experts on this subject based on the ideXlab platform.

  • Improvement to the scanning electron Microscope Image adaptive canny optimization colorization by pseudo-mapping
    Scanning, 2014
    Co-Authors: Kok Swee Sim, Chih Ping Tso, M. E. Nia
    Abstract:

    An improvement to the previously proposed adaptive Canny optimization technique for scanning electron Microscope Image colorization is reported. The additional feature, called pseudo-mapping technique, is that the grayscale markings are temporarily mapped to a set of pre-defined pseudo-color map as a mean to instill color information for grayscale colors in chrominance channels. This allows the presence of grayscale markings to be identified; hence optimization colorization of grayscale colors is made possible. This additional feature enhances the flexibility of scanning electron Microscope Image colorization by providing wider range of possible color enhancement. Furthermore, the nature of this technique also allows users to adjust the luminance intensities of selected region from the original Image within certain extent.

  • Improvement to the scanning electron Microscope Image colourization by adaptive tuning
    Journal of Microscopy, 2009
    Co-Authors: Kok Swee Sim, H.y. Ting, M.a. Lai, Chih Ping Tso
    Abstract:

    An improvement to the previously proposed Canny optimization technique for scanning electron Microscope Image colorization is reported. The additional process is adaptive tuning, where colour tuning is performed adaptively, based on comparing the original luminance values with calculated luminance values. The complete adaptive Canny optimization technique gives significantly better mechanical contrast on scanning electron Microscope grey-scale Images than do existing methods.

  • Canny optimization technique for electron Microscope Image colourization.
    Journal of microscopy, 2008
    Co-Authors: Kok Swee Sim, Chih Ping Tso, H.y. Ting
    Abstract:

    Images of scanning electron Microscope are usually in the monochrome mode. A simple and user-friendly approach is proposed to improve the mechanical contrast of the scanning electron Microscope grey Images. Also, most colourization techniques involve Image segmentation or region tracking, which tend to degrade the Image with fuzzy or complex region boundaries. A technique is proposed, which is a hybrid between the Canny edge detection technique and the optimization technique. Compared with existing methods, the new Canny optimization technique gives satisfactory results for scanning electron Microscope Images.

H.y. Ting - One of the best experts on this subject based on the ideXlab platform.

  • Improvement to the scanning electron Microscope Image colourization by adaptive tuning
    Journal of Microscopy, 2009
    Co-Authors: Kok Swee Sim, H.y. Ting, M.a. Lai, Chih Ping Tso
    Abstract:

    An improvement to the previously proposed Canny optimization technique for scanning electron Microscope Image colorization is reported. The additional process is adaptive tuning, where colour tuning is performed adaptively, based on comparing the original luminance values with calculated luminance values. The complete adaptive Canny optimization technique gives significantly better mechanical contrast on scanning electron Microscope grey-scale Images than do existing methods.

  • Canny optimization technique for electron Microscope Image colourization.
    Journal of microscopy, 2008
    Co-Authors: Kok Swee Sim, Chih Ping Tso, H.y. Ting
    Abstract:

    Images of scanning electron Microscope are usually in the monochrome mode. A simple and user-friendly approach is proposed to improve the mechanical contrast of the scanning electron Microscope grey Images. Also, most colourization techniques involve Image segmentation or region tracking, which tend to degrade the Image with fuzzy or complex region boundaries. A technique is proposed, which is a hybrid between the Canny edge detection technique and the optimization technique. Compared with existing methods, the new Canny optimization technique gives satisfactory results for scanning electron Microscope Images.

P Descouts - One of the best experts on this subject based on the ideXlab platform.

  • dna and rna polymerase dna complex Imaged by scanning force microscopy influence of molecular scale friction
    Scanning, 1992
    Co-Authors: Frederic Zenhausern, M Adrian, Ten B Heggelerbordier, Lukas M Eng, P Descouts
    Abstract:

    Reproducible Images of DNA and the interaction of RNA polymerase with supercoiled DNA on mica have been obtained by scanning force microscopy (SFM) in air. This technique allowed visualization of the assembly of distinct nucleoprotein complexes at specific sites which initiate DNA replication. Transmission electron microscopic controls were performed on the carbon-coated replica of the same specimens previously scanned by scanning force Microscope. Image contrast formation has been investigated and lateral friction forces have been qualitatively characterized with SFM on DNA-covered samples.

Chen Shu - One of the best experts on this subject based on the ideXlab platform.