Introduction: The expansion of pulmonary tumors and their alterations take place in a dynamic manner, so that vigorous segmentation of the obtained images is accurately ***: In this research, an extended algorithm in ...
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Introduction: The expansion of pulmonary tumors and their alterations take place in a dynamic manner, so that vigorous segmentation of the obtained images is accurately ***: In this research, an extended algorithm in region growing was executed on CT lung tumors to investigate precise tumor region and edges. First, a new threshold via definition of greater target region around the initial tumor was implemented in MATLAB software. Second, nearby points were settled in an array and then these points were updated established upon the tumor growth to delineate the fresh tumor edges. Here, farthest distance from the center of color intensity point of the initial tumor was selected to grow the region in the algorithm. Third, fresh tumor boundary was determined via an interpolation between these fresh points by sketching lines from the tumor midpoint. Then, the edge correction was implemented and the fresh region was attached to the principal region to attain a segmented tumor ***: The proposed technique enhanced the tumor recognition by 96% and 91% maximum and minimum accuracy, respectively, in comparison with basilar method. In inclusive algorithm, the percentage of conformity had a positive effect on realization of the threshold value and renewal of the relative amount by 13% enhancement over accuracy assessment. Also when compared to basilar algorithm, it was found that at least 12% of the percentage differences in conformity segment the tumor area in lung CT images. The proposed algorithm with sufficient accuracy accelerates the segmentation process to delineate and improve the tumor edges by growing multiple selected regions. The algorithm also guarantees the independence of the results from the starting ***: According to the definition of the center of mass of the tumor color intensity, the proposed extended algorithm may be generalized to the 3D images regardless of the matrix size and the image thickness. The combination of t
the support is generally higher when the classical apriori algorithm is used as mining data based on association rules,if the support is small low then redundant frequent item set and redundant rules are produced larg...
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ISBN:
(纸本)9781479932795
the support is generally higher when the classical apriori algorithm is used as mining data based on association rules,if the support is small low then redundant frequent item set and redundant rules are produced large,so the local effective association rules has a larger confidence and a smaller support can not be mined out,which is the fatal defects of the classical apriori *** to the defects,the effectiveness of local rules is proved at first,meanwhile,two kinds of the correction algorithms are given: the one is apriori-con algorithm based on confidence and the other is apriori algorithm based on classification which is further divided into three kinds,aprioriclass-int algorithm based on interest classification,apriori-classpre algorithm based on forecast classification and apriori-classclr algorithm based on clustering *** correctness of the theory is proved in the article and the effective of the correction algorithms is showed by cases.
The numerical stability of the extended alternating-direction-implicit-finite-difference-time-domain (ADI-FDTD) method including lumped models is analyzed. Three common lumped models are investigated: resistor, cap...
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The numerical stability of the extended alternating-direction-implicit-finite-difference-time-domain (ADI-FDTD) method including lumped models is analyzed. Three common lumped models are investigated: resistor, capacitor, and inductor, and three different formulations for each model are analyzed: the explicit, semi-implicit and implicit schemes. Analysis results show that the extended ADI-FDTD algorithm is not unconditionally stable in the explicit scheme case, and the stability criterion depends on the value of lumped models, but in the semi-implicit and implicit cases, the algorithm is stable. Finally, two simple microstrip circuits including lumped elements are simulated to demonstrate validity of the theoretical results.
An extended algorithm of flexibility analysis with a local adjusting method for flexibility region of chemical processes, which is based on the active constraint strategy, is proposed, which fully exploits the flexibi...
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An extended algorithm of flexibility analysis with a local adjusting method for flexibility region of chemical processes, which is based on the active constraint strategy, is proposed, which fully exploits the flexibility region of the process system operation. The hyperrectangular flexibility region determined by the extended algorithm is larger than that calculated by the previous algorithms. The limitation of the proposed algorithm due to imperfect convexity and its corresponding verification measure are also discussed. Both numerical and actual chemical process examples are presented to demonstrate the effectiveness of the new algorithm.
This paper extends the processing capability of the wide angle synthetic aperture radar (WASAR) algorithm [14] to synthetic aperture radar (SAR) data acquired with the radar beam directed with an offset angle (squint ...
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This paper extends the processing capability of the wide angle synthetic aperture radar (WASAR) algorithm [14] to synthetic aperture radar (SAR) data acquired with the radar beam directed with an offset angle (squint angle) from the zero Doppler direction The key point of this work is the analytical evaluation of the system transfer function for the squinted geometry via the stationary phase method The range dependence of this new transfer function is compensated in two steps: a phase multiplication and a modified version of the basic fractional Fourier transform (FT). The performance of the extended algorithm is demonstrated by experiments with real and simulated data.
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