Abstract
Chromosome image processing is the basis of chromosome karyotype analysis. Compared with traditional images, chromosome images are more prone to noise, which will interfere with the subsequent operation of the image. To improve the quality of chromosome images, an adaptive wavelet threshold image denoising method was proposed. By selecting the threshold value and improving the threshold function, the method has certain adaptability and a good denoising effect. Experiments on different denoising methods show that this method has better performance in processing chromosomal image noise.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
