Initial Study on Mitral Valve Detection from Echocardiography Sequences
| Autor: | Muhammad Haniff S. M. Johan, Nabilah Ibrahim, Shahnoor Shanta, Hideyuki Hasegawa, Mohd Thariq Zaluwi, Lina Farhana Mahadi |
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| Rok vydání: | 2018 |
| Předmět: |
Correlation coefficient
Cross-correlation Computer science business.industry Template matching Image registration Image processing Pattern recognition 030204 cardiovascular system & hematology Grayscale 03 medical and health sciences 0302 clinical medicine medicine.anatomical_structure Mitral valve Medical imaging medicine 030212 general & internal medicine Artificial intelligence business |
| Zdroj: | 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES). |
| DOI: | 10.1109/iecbes.2018.8626600 |
| Popis: | This paper provides the explanation of the concepts of similarity measuring technique to be implemented in image registration process. Template matching has been used for many applications in image processing. This paper discussed about the implementation of template matching for automatically detection of the mitral valve image. An experiment is carried out which covers the patient scanning who suffers from mitral valve disease. Here, the normalized cross correlation is employed to conduct the template matching. The performance of the method is validated by comparing the value of correlation coefficient produces by different images. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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