A new method of cardiographic image segmentation based on grammar

Salah Hamdi; Asma Ben Abdallah; Mohamed Hedi Bedoui; Adel M. Alimi

doi:10.1117/12.914443

1 October 2011 A new method of cardiographic image segmentation based on grammar

Salah Hamdi, Asma Ben Abdallah, Mohamed Hedi Bedoui, Adel M. Alimi

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82853P (2011) https://doi.org/10.1117/12.914443
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

Abstract

The measurement of the most common ultrasound parameters, such as aortic area, mitral area and left ventricle (LV) volume, requires the delineation of the organ in order to estimate the area. In terms of medical image processing this translates into the need to segment the image and define the contours as accurately as possible. The aim of this work is to segment an image and make an automated area estimation based on grammar. The entity "language" will be projected to the entity "image" to perform structural analysis and parsing of the image. We will show how the idea of segmentation and grammar-based area estimation is applied to real problems of cardio-graphic image processing.

Citation Download Citation

Salah Hamdi, Asma Ben Abdallah, Mohamed Hedi Bedoui, and Adel M. Alimi "A new method of cardiographic image segmentation based on grammar", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82853P (1 October 2011); https://doi.org/10.1117/12.914443

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