K-SVD and Sparse Classification Based algorithm for fast and automatic Identification of Intracardiac Masses in Echocardiography |
Author(s): |
| DEEPAREDDY. G , ADHIYAMAAN COLLEGE OF ENGINEERING (Autonomous); P. GANESH BABU, ADHIYAMAAN COLLEGE OF ENGINEERING (Autonomous); V. DHANALAKSHMI, ADHIYAMAAN COLLEGE OF ENGINEERING (Autonomous); E. PRITHIMA, ADHIYAMAAN COLLEGE OF ENGINEERING (Autonomous) |
Keywords: |
| Automatic identification, intracardiac masses, NLM, K-SVD, SRC |
Abstract |
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The proposed technique helps in automatic identification of intracardiac masses in echocardiograms. This technique aims to help cardiac surgeons to classify tumor and thrombi in patients with cardiac diseases in an easy way thereby improving accuracy and minimizing diagnosis time. It makes use of non-local means algorithm (NLM) for the removal of Rayleigh scattering noise and the despeckled image is processed and segmented with the help of K-singular value decomposition (K-SVD) and sparse representation classifier (SRC) to classify the masses. It aims at better and faster classification results |
Other Details |
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Paper ID: IJSRDV4I10912 Published in: Volume : 4, Issue : 1 Publication Date: 01/04/2016 Page(s): 1192-1194 |
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