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The second is based on image contrast media using bioprobes.
The setting, optimization, and operation of D-MRI techniques in cancellous bone and muscle investigations are markedly different from conventional MRI of the musculoskeletal system primarily based on image contrast due to differences in tissues relaxation times: T1, T2, and T2* [ 41, 42].
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The performance of the proposed technique is compared with various histogram equalization methods based on image quality measurement tools such as Contrast Improvement Index (CII), Discrete Entropy (DE, Absolute Mean Brightness Coefficientt (AMBC) and Peak Signal-to-Noise Ratio (PSNR).
Based on image pre-processing, the original infrared image can remove noise to enhance the contrast and weaken the inference in the image.
Secondly, we compute the image definition measure based on the image contrast map.
Cell width (diameter) is based on phase contrast images; darkening indicates constriction at mid-cell.
RC obtains saliency image based on local contrast method.
Focal plane in fluorescent images was chosen based on maximum contrast in the DAPI image.
We propose a visual saliency prediction model for stereoscopic images based on stereo contrast and stereo focus models.
Fang et al. [21] proposed a visual attention model for stereoscopic images based on the contrast between low-level features.
Each individual functional data-set was aligned with the standard stereotactic reference space, so that a group analysis based on the contrast-images could be performed.
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