학술논문

Chromosome Image Denoising Based on Adaptive Wavelet Threshold
Document Type
Conference
Source
2022 7th International Conference on Image, Vision and Computing (ICIVC) Image, Vision and Computing (ICIVC), 2022 7th International Conference on. :513-518 Jul, 2022
Subject
Computing and Processing
Image quality
Image edge detection
Noise reduction
Wavelet analysis
Biological cells
Image denoising
chromosome image
karyotype analysis
adaptive wavelet threshold
threshold function
Language
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.