Chromosome Image Denoising Based on Adaptive Wavelet Threshold
Zhifeng Zhang, Ganghao Liu, Xiao Cui, Jinhui Kuang, Jinghan Cai, Xiaohui Ji · 2022 7th International Conference on Image, Vision and Computing (ICIVC) · 2022
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.