Maximum Likelihood Endocardial Boundary Detection with Parzen Estimation of pdf

This study presents a segmentation method for detection of endocardial boundary in echocardiographic images. The proposed method has two stages. Firstly, endocardial boundary is detected by a maximum likelihood segmentation method with parzen estimation of the pdf of the intensity of image. Then, a smoothing method is applied to the resulting boundary to have a smooth curve that is typical for cardiac boundary. Usefulness and potentials of the proposed algorithm is demonstrated by successfully applying it to different images.

کلیدواژه ها:

Maximum Likelihood Segmentation ، Parzen Estimation ، Gaussian Smoothing Filter ، Echocardiographic Images ، Endocardial Boundary