Class CAAMConsoleModeE


  • public class CAAMConsoleModeE
    extends CAAMConsoleMode
    This is the Java modified version of C++ active appearance model API (AAM_API). It is modified with a subset of required functions for automatic MRI prostate segmentation. AAM-API LICENSE - file: license.txt This software is freely available for non-commercial use such as research and education. Please see the full disclaimer below. All publications describing work using this software should cite the reference given below. Copyright (c) 2000-2003 Mikkel B. Stegmann, mbs@imm.dtu.dk IMM, Informatics & Mathematical Modelling DTU, Technical University of Denmark Richard Petersens Plads, Building 321 DK-2800 Lyngby, Denmark http://www.imm.dtu.dk/~aam/ REFERENCES Please use the reference below, when writing articles, reports etc. where the AAM-API has been used. A draft version the article is available from the homepage. I will be happy to receive pre- or reprints of such articles. /Mikkel ------------- M. B. Stegmann, B. K. Ersboll, R. Larsen, "FAME -- A Flexible Appearance Modelling Environment", IEEE Transactions on Medical Imaging, IEEE, 2003 (to appear) ------------- 3RD PART SOFTWARE The software is partly based on the following libraries: - The Microsoft(tm) Vision Software Developers Kit, VisSDK - LAPACK DISCLAIMER This software is provided 'as-is', without any express or implied warranty. In no event will the author be held liable for any damages arising from the use of this software. Permission is granted to anyone to use this software for any non-commercial purpose, and to alter it, subject to the following restrictions: 1. The origin of this software must not be misrepresented; you must not claim that you wrote the original software. 2. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software. 3. This notice may not be removed or altered from any source distribution. -- No guarantees of performance accompany this software, nor is any responsibility assumed on the part of the author or IMM. This software is provided by Mikkel B. Stegmann and IMM ``as is'' and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall IMM or Mikkel B. Stegmann be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage. $Revision: 1.4 $ $Date: 2003/04/23 14:49:15 $
    Author:
    Ruida Cheng
    • Constructor Detail

      • CAAMConsoleModeE

        public CAAMConsoleModeE​(java.lang.String progname)
        Constructor. Console mode E for evaluation.
        Parameters:
        progname - program name
      • CAAMConsoleModeE

        public CAAMConsoleModeE()
        Constructor.
    • Method Detail

      • Main

        public int Main​(int argc,
                        java.lang.String[] argv)
        C style anchor to invoke the E console mode, evaluation mode. Being called from the AAM console.
        Overrides:
        Main in class CAAMConsoleMode
        Parameters:
        argc - number of augments
        argv - augments array
        Returns:
        nothing
      • classification

        public int classification​(C_AAMMODEL model,
                                  ModelImage targetImageSlice,
                                  ModelImage sampleImage)
        Classification testing routine.
        Parameters:
        model - aam model reference
        targetImageSlice - target image slice 2D
        sampleImage - sample image
        Returns:
      • classification

        public int classification​(C_AAMMODEL model,
                                  ModelImage targetImageSlice)
        Classification testing routine.
        Parameters:
        model - AAM model reference
        targetImageSlice - target image slice 2D
        Returns: