Quality Assessment of X-ray Images Using Modulation Transfer Function Fractal Dimension

Segmentation of Casting Defects in X-Ray Images Based on Fractal Dimension

Considering defect segmentation is the most important and hardest issue for various defects recognition and classification in the X-ray image, a segmentation algorithm based on fractal dimension which is calculated by differential box-counting is investigated to locate defects in the gray-level images. The results indicate that fractal dimension can be a good alternative in defect-segmentation....

Quantitative characterization of x-ray differential interference contrast microscopy using modulation transfer function.

Performance of two types of differential interference contrast objectives, i.e., the XOR pattern and the zone-plate doublet, is quantitatively characterized and compared using modulation transfer function. Effects of partial coherence, finite absorption and phase in a complex object, as well as bias retardation are also examined.

Quality of digital x-ray images.

assessment of the efficiency of s.p.g.c refineries using network dea

data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...

Diagnosis of B-CLL Leukemia Using Fractal Dimension

Background:Leukemia is cancer of blood and bone marrow cells. In general, there are four types of leukemia: chronic myelogenous leukemia (CML), acute myeloid leukemia (AML), B-cell chronic lymphocytic leukemia (CLL) and acute lymphoblastic leukemia (ALL).  Fractal geometry can be introduced as one of the effective ways to detect this type of cancer. In this study, with introduc...