Hybrid Energy Model for Improved segmentation
A Hybrid Energy Model for Region Based Curve Evolution - Application to CTA Coronary Segmentation
... This is illustrated in Fig. 2a where the computed vesselness is plotted for a 2D axial image. To overcome this limitation, we employed a cylindrical filter [23] to further enhance the tubular structures in a CTA volume. ...
40
A HYBRID MODEL TO PERFORM SEGMENTATION ON BIOMETRIC IMAGES
... Image segmentation is about the extraction of biometric features from a biometric ...level segmentation is required whereas for feature extraction, low level segmentation is ...a hybrid ...
8
Improved graph cut segmentation by learning a contrast model on the fly
... to model the color of the object from the user interactions and use this to assign data penalties to the unlabeled pixels ...generative model of contrast that captures information about colors that are ...
5
Mobile Palmprint Segmentation Based on Improved Active Shape Model
... leaded to an improved version of this paper. This work was supported by National Natural Science Foundation of China (61866028, 61881340421, 61741312, 61663031, 61763033, 61866025, 61662049), Key Program Project ...
8
Improved Double Auction Protocol based on a Hybrid Trust Model
... VII. C ONCLUSION We presented secure and practical double auction protocols with hybrid trust model under realistic assumptions, which are based on McAfee's and Yokoo’s protocols. As a threshold access ...
9
Hybrid Method for Image Segmentation
... [23] S. Balla-Arabé and X. Gao, ―Image multi-thresholding by combining the lattice Boltzmann model and a localized level set algorithm,ǁ Neurocomputing, vol. 93, pp. 106–114, Sep. 2012. [24] J. Ding, R. Ma, J. ...
5
A review of frequency control of hybrid renewable energy system with hybrid control model
... on hybrid utilization of renewable energy and fuel cells for a residential energy ...of hybrid utilization involving solar ...solar energy and fuel ...primary energy consumption ...
5
An Index Hybrid Method Based on Improved Logistic Model for Link Prediction
... In general, the research of the convergence problem of link prediction algorithm is still in the initial stage. This method can integrate the advantages of multiple similarity indicators, effectively improve the ...
6
Hybrid improved EMD-BPNN model for the prediction of sea surface temperature
... The flowchart of SST prediction model based on back-propagation neural network and advanced empirical mode decomposition algorithm... 11[r] ...
20
Energy forward price prediction with a hybrid adaptive model
... a hybrid form of forecasting models, which are the combination of Kalman lter/Extend Kalman Filter (EKF) and prediction models, such as Radial Basic Function (RBF), Multilayer perceptrons (MLP), linear regression ...
6
Classifiers Combination for Improved Motion Segmentation
... robustly model a multi-modal background, the multiple adaptive Gaussians can be ...sians model is a very appealing approach to data fitting as it scales favourably with dimensionality of the data, has good ...
8
A novel improved model for building energy consumption prediction based on model integration
... the model to resist external environmental disturbances to ensure the stability of its working ...building energy, there are many reasons why the collected operational data may deviate from reality, such as ...
15
A hybrid neural network model based an improved PSO and SA for bankruptcy prediction
... a model specially to select variables that discriminate bankrupt to healthy ...the hybrid DT-ANN even with its best overall accuracy, present the less rate of good classification of bankrupt firms (between ...
14
An improved hybrid computational method for the two-diode model in photovoltaic simulation applications
... new hybrid approach has been proposed to overcome the aforementioned ...the model parameters based on a suitable objective ...the model parameters can be solved simultaneously, without requiring the ...
47
Retinal Vessel Segmentation using Infinite Perimeter Active Contour with Hybrid Information Model
... contour model that uses hybrid region information of the image which allows for better detection of small branching like structures than the other ...general segmentation performance, the proposed ...
5
Hybrid Medical Image Segmentation based on Fuzzy Global Minimization by Active Contour Model
... The figure 3 and table 1 shows the RE value for proposed hybrid segmentation model gives suitable results. c) Discrete Entropy (DE) The discrete entropy is the measure of image information content, ...
6
Power System Stability of an Electric War Ship can be Improved with Hybrid Energy Storage
... The Hybrid Energy Storage System (HESS) proposed at so many areas out of that some noticed here, those are used at railway sub-stations by using fuzzy logic ...in hybrid vehicles, in which the ...
5
A Hybrid Neural Network and ARIMA Model for Energy Consumption Forecasting
... selected model is not necessarily the best for future uses due to many potential influencing factors such as sampling variation, model uncertainty, and structure ...of model selection can be eased ...
7
An Improved Pixon-Based Approach for Image Segmentation
... (Received: June 29, 2009 – Accepted in Revised Form: March 11, 2010) Abstract An improved pixon-based method is proposed in this paper for image segmentation. In this approach, a wavelet thresholding ...
11
Image Segmentation Using Improved Genetic Algorithm
... Aircraft and satellites are the common platforms for remote sensing of earth and its natural resources (Goetz et al., 1985). Aerial photography in visible portion of the electromagnetic wavelength was the original form ...
6