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First, this algorithm constructs the approximate function and determines the optimal point of edge detection, based on image intensity and inflexions.
Otsu's method is commonly utilized for quick segment of the object and background based on image intensity.
In literature, there are two categories of registration methods, registration based on image features and registration based on image intensity [1].
Flow visualization is performed at the post-processing stage whereby vector plot is computed based on image intensity motion vectors for every pixel.
The modified OFM based on image intensity gradient was utilized for deformable image registration and the accuracy of registration was reported in previous studies [ 18– 20].
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Concurrent to these works has been the development of machine learning approaches, including support vector machines (SVM) [ 17] with features based on image intensities and gradients.
So the measure of second-order structuredness based on image intensities can be defined by S = λ 1 2 + λ 2 2. The measure will be low in the background where the eigenvalues are small due to the lack of contrast, while it will become larger in the vessel regions with high contrast because of at least one of both eigenvalues being large.
Contours were drawn on the T2-weighted images, based on image pixel intensities.
The described candidate region detection with DBSCAN (Fig. 3) separates the particles based on image gradients and intensities, which allows for easy classification of the primary particles and the agglomerates based on their size.
Stabler et al. approached data analysis in a more common approach for two-colour data by first removing unreliable low intensity data based on image analysis QC flags, normalisation of ratio data to remove any systematic effects and applying ratio cutoffs to determine genes present or absent in comparison to the control strain hybridised to each array as a common reference.
Edge detection is based on either image intensity or the derivative of image intensity.
More suggestions(15)
based on fluorescence intensity
based on image contrast
based on satellite intensity
based on image processing
based on feature intensity
based on image quality
based on pixel intensity
based on image appearance
based on image classification
based on luminescence intensity
based on image feature
based on image type
based on image texture
based on image analysis
based on image differencing
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