The computational time of this algorithm is high because a number of rigid motion parameters should be computed for all possible correspondences between the query and enrolled images in the dataset.
The major drawback of this algorithm is its computational cost, since a number of rigid motion parameters should be computed for all possible correspondences between the query and enrolled images in the database [12].
Let Gq = {g1 q), g2 q), ⋯, gd q)} and Ge = {g1 e), g2 e), ⋯, gd e)} be Gabor feature vectors of query and enrolled images, respectively, and the distance between G i and G j is defined by Equation 3: d G q, G e = ∑ k = 1 d g k q - g k e 2, (3).
And then let Sq = {s1 q), s2 q), ⋯, sm q)} and Se = {s1 e), s2 e), ⋯, sn e)} be SURF feature vectors of the query and enrolled images, respectively, and s i (q) and s i (e) are feature vectors of key point i in Sq and key point j in Se separately.
Twenty-five patients were enrolled and imaged.
Nine patients with RRMS were sequentially enrolled and imaged monthly for four years during a natural history phase.
Each case enrolled was imaged with an extent from the thoracic inlet through the adrenal glands either on MDCT or MRI.
In addition, a group of 40 elderly controls (age: 69.5+11.1; education: 15.2+2.1; Mini-Mental State Examination (MMSE): 29.6+0.5, 44% male) and 40 participants with MCI (age: 71.5+10.0; education: 14.9+2.3; MMSE: 27.3+1.8, 45% male) who have already been enrolled and imaged with PET will be used to compare regional patterns of amyloid deposition (figures 1 and 2).
The first 30 images of DRIVE database and the first 30 images of STARE were enrolled, and 80 images of DRIVE and STARE databases with six images per subject were entered to the system as queries.
The last 30 images of DRIVE database and the last 30 images of STARE were enrolled, and 80 images of DRIVE and STARE databases with six images per subject were entered to the system as queries.
