Abstract
Frequently encountered problems on bilevel thresholding of floc images include information loss during the image conversion stage, sampling bias owing to spatially inhomogeneous luminous flux over an optical microscope image or among a series of images, thresholding error adopting various algorithms, and resampling errors during three-dimensional reconstruction. Among these steps the choice of thresholding algorithm could yield most of the processing error. Ways to reduce the potential processing errors are discussed.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.