To analyze the AuNP-associated biomolecules, two characteristics are extremely important: similarity and intensity.
Selected parameters of oil fingerprinting are discussed: similarity ratio, intensity ratio and wavelength-independent fluorescence peaks (Ex max/Em max).
The degree of similarity between intensity patterns in two images is determined, and consequently, the recognized image is registered automatically into one coordinate system.
To test if a certain pixel p is a corner, 16 pixels lying on a circle centered at this pixel (specifically, a Bresenham circle of radius 3) are tested for similarity of intensity to the center pixel.
Specifically, the algorithm arranges features in an iterative manner based on similarity in intensity profiles across samples.
Due to the high similarity of intensity profiles between a metabolite and its adducts, metabolites and their adducts are likely to be assigned to the same prototype.
This approach groups masses based on their similarity of intensity between samples, meaning that masses with related fold-changes between subjects cluster together, independent of their absolute levels.
In order to solve these problems, this paper proposes a novel segmentation strategy that regards similarity of intensity distribution, shape, and location between nearby slices as a priori knowledge to guide the segmentation of image sequences.
Discrimination between different tissue types, due to the similarity in intensity values in the MR images, must be done at a later stage, either exploiting the specific geometries of different structures (as described below) or using histological slices previously coregistered with the MR dataset (30).
The similarity in intensity-based contrast between the target and the dynamic background shows a necessity to look at other determinant characteristics.
