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Water–fat separation in magnetic resonance imaging (MRI) is of great clinical importance, and the key to uniform water–fat separation lies in field map estimation. This work deals with three-point field map estimation, in which water and fat are modelled as two single-peak spectral lines, and field inhomogeneities shift the spectrum by an unknown amount. Due to the simplified spectrum modelling, there...
The partial reconfigurability of FPGAs allows real-time systems to adapt to changing application requirements. However, the additional time and power needed for partial reconfiguration as well as the sequential reconfiguration process degrade the overall system performance. This is considered as one of the main reasons for restricted use of partial reconfiguration technology. In addition, hardware...
Many existing car recognition algorithms are aiming at front/back and side view car detection. In this paper, an oblique car recognition algorithm is proposed. The algorithm is designed based on the common knowledge of the car, such as shape, contour, structure and so on. The experimental results of many oblique car images show that our method has fine accuracy in oblique car recognition.
Robust field map estimation is important to many MRI applications, such as reconstruction with correction of susceptibility artifacts, MR-based temperature mapping, and water-fat separation. To enable in-vivo field map estimation with minimal scan times, multi-echo imaging sequences, which acquire multiple images in a single repetition, are gaining great interest. However, it has been observed that...
In this paper, a car recognition algorithm based on fuzzy clustering of multiple features of car image is proposes. Firstly main color model and image pyramid are used to get complete contour of car. Then round rate, Fourier descriptor, direction ratio and circumference ratio are extracted and analyzed in detail. Afterwards all features are combined into a feature vector and fuzzy clustering is used...
This paper proposes a car recognition algorithm based on multiple features of contour. Firstly, canny operator is used to get the edge of the image. Afterwards, image pyramid is used to shrink the image so that the contour will be single-edged and complete. Then, from a point in the contour, travel the whole contour to gain the Fourier descriptors and direction ratio from the traversal sequence. At...
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