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- Title
Analysis and Processing of Medical Signal Based on Microscopic Image.
- Authors
Jianzhuo Li
- Abstract
In order to study the analysis and processing of medical signals based on microscopic images, the microscopic images of tissue slices, red blood cells in urine cells, and tubular urine cells were taken as the research objects. First, the image was preprocessed by gray correction, and the image registration was carried out by the registration algorithm based on scale invariant feature transformation (SIFT) and random sampling consensus (RANSAC) algorithm. Three methods, image fusion based on weighted smoothing, image fusion based on wavelet transform, and image fusion based on brightness equalization of weighted smoothing, were used to mosaic and reconstruct panoramic images. Through root mean square error, standard deviation, correlation coefficient, information entropy, mutual information, spatial resolution rate, and peak signal-to-noise ratio (PSNR) seven functions, the fusion images were quantitatively assessed. The fusion effects of histological sections, red blood cells in urine cells, and microscopic images of tubular urine cells were compared. The results show that the image fusion based on weighted smoothing method performs best in root mean square error and mutual information, while the image fusion based on wavelet transform performs best in standard deviation, but worst in root mean square error, correlation coefficient, and mutual information, and image fusion based on brightness equalization of weighted smoothing performs best in correlation coefficient, information entropy, spatial resolution, and PSNR. To sum up, it is effective and feasible to use registration algorithm based on SIFT and RANSAC algorithm for image registration, and image fusion method based on brightness equalization of weighted smoothing method for panoramic image.
- Subjects
MEDICAL microscopy; MEDICAL imaging systems; EPITHELIAL cells; URINALYSIS; SIGNAL processing; WAVELET transforms; IMAGE fusion; SMOOTHING (Numerical analysis)
- Publication
Acta Microscopica, 2019, Vol 28, Issue 6, p1685
- ISSN
0798-4545
- Publication type
Article