In general, these methodologies are composed from three main steps as feature detection, feature matching, and transformation.
This work has led to a number of important applications in the field, including early detection of disease relapse, non-invasive genotyping of tumors, and detection of transformation of follicular lymphoma into DLBCL.
The algorithm for TV screen extraction and comparison is based on the following image processing problems: line detection, rectangle detection, image transformation, and image comparison.
The edge detection procedure applies blurring, clustering, and transformation to a standard color.
Pharmaceuticals in the environment are an increasing concern, since the improvement of analytical tools has enabled the detection of parent compounds, metabolites and transformation products of a wide range of pharmaceuticals.
In the frequency domain, we design an α-DoB band-pass filter to conduct coarse saliency detection and make an amplitude transformation with smoothing processing which is the so-called elaborate saliency detection.
Furthermore, FDG-PET may not be definitive for interim response assessment in patients with HL and DLBCL, and detection of potential transformation sites.
For instance in [16], Harris-Laplace detector [17] is used for salient region detection and then scale-invariant feature transformation (SIFT) [18] is used in order to provide scale invariance and rotation-invariant feature transformation (RIFT) [19] is used for rotation invariance.
Indeed, MR draws upon complex mathematical concepts, requiring its users to be familiar not only with computer programming but also with radio-wave detection and amplification, electrical filtering, Fourier transformation, and complex time-domain modelling and integration.
As described in Zitova et al. [ 22], our registration algorithm pipeline consists of four steps: (1) feature detection and extraction, (2) feature matching, (3) transformation function fitting and (4) image transformation and image resampling.
