Title :
Scintigraphic image segmentation based on grammatical inference and spiral matrix
Author :
Hamdi, Salah ; Ben Abdallah, Asma ; Bedoui, Mohamed Hedi
Author_Institution :
Lab. of Technol. & Med. Imaging (LTIM), Univ. of Monastir, Monastir, Tunisia
Abstract :
This paper deals with an image segmentation tool inspired from grammar formalism and based on spiral matrix. We are to set a scintigraphic image as a set of lexemes based on a vocabulary of intensities and a set of grammatical rules. Thus, the endocardium, epicardium and epicardial muscle edges are detected. In addition, a set of quantitative information is also deduced such as endocardium area, endocardium diameter and epicardial muscle thickness. This type of task is intended for medical diagnosis assistance. To validate our method, we have segmented a set of real scintigraphic images.
Keywords :
edge detection; image segmentation; inference mechanisms; medical image processing; muscle; patient diagnosis; radioisotope imaging; endocardium area; endocardium diameter; endocardium muscle edge detection; epicardial muscle edge detection; epicardial muscle thickness; epicardium muscle edge detection; grammar formalism; grammatical inference; grammatical rules; intensity vocabulary; lexeme set; medical diagnosis assistance; quantitative information; scintigraphic image segmentation tool; spiral matrix; Grammar; Image edge detection; Image segmentation; Muscles; Spirals; Syntactics; Vocabulary; Grammatical inference; Medical diagnosis assistance; Scintigraphic image; Segmentation; Spiral Matrix;
Conference_Titel :
Soft Computing and Pattern Recognition (SoCPaR), 2014 6th International Conference of
Conference_Location :
Tunis
DOI :
10.1109/SOCPAR.2014.7008003
