Jierong Cheng

Publication List Details

Period

2004 - 2009

Number

11

Co-Authors

1.5um Polarization-Entangled Bell States Generation Based on Birefringence in High Nonlinear Microstructure Fiber (2009)

Zhou, Qiang, Zhang, Wei, Cheng, Jierong, Huang, Yidong, Peng, Jiangde

Polarization-entangled photon pair generation based on two scalar scattering processes of the vector four photon scattering has been demonstrated experimentally in high nonlinear microstructure fiber...

Boundary Detection in Echocardiographic Images Using Markovian Level Set Method (2007)

CHENG, Jierong, FOO, Say-Wei

Owing to the large amount of speckle noise and ill-defined edges present in echocardiographic images, computer-based boundary detection of the left ventricle has proved to be a challenging problem....

Distraction in GVF-based segmentation. (2007)

Cheng, Jierong., Foo, Say Wei.

For complex images with the presence of stronger edges near the desired boundary, the snake used in gradient vector flow (GVF)-based segmentation method may be distracted to converge wrongly on the...

Dynamic directional gradient vector flow for snakes. (2006)

Cheng, Jierong., Foo, Say Wei.

Snakes, or active contour models, have been widely used in image segmentation. However, most present snake models do not discern between positive and negative step edges. In this paper, a new type of...

Watershed-presegmented snake for boundary detection and tracking of left ventricle in echocardiographic images. (2006)

Cheng, Jierong., Foo, Say Wei., Krishnan, Shankar M.

In this paper,an automated method of boundary detection of the left ventricle (LV) is proposed. The method uses a watershed transform and morphological operation to locate the region containing the...

Markovian level set for echocardiographic image segmentation. (2006)

Cheng, Jierong., Foo, Say Wei.

Owing to the large amount of speckle noise and ill-defined edges present in echocardiographic images, computerbased boundary detection of the left ventricle (LV) has proved to be a challenging...

Markovian level set : a new method for boundary detection from echocardiographic images. (2006)

Cheng, Jierong., Foo, Say Wei.

Computer-based boundary detection in Echocardiographic Images is a challenging problem, due to the large amount of noise and the poor contrast presented. In this paper, a Markovian level set method...

Automatic detection of region of interest and center point of left ventricle using watershed segmentation. (2005)

Cheng, Jierong., Foo, Say Wei., Krishnan, Shankar M.

In the detection of the boundary of the left ventricle from echocardiographic images, the crucial step is to determine the region of interest (ROI) or the center point (CP) of the left ventricle. In...

Echocardiographic image sequence segmentation by multiscale directional snake. (2004)

Cheng, Jierong., Foo, Say Wei., Krishnan, Shankar M.

In this paper, a new algorithm named as ‘multiscale directional snake’ is proposed for segmentation of chocardiographic images by computer. The method makes use of morphological operations to...

Directional gradient vector flow for snakes. (2004)

Cheng, Jierong., Foo, Say Wei., Krishnan, Shankar M.

Snakes, or active contour models, have been widely used in image segmentation. However, most present snake models cannot discern between positive and negative step edges. In this paper, a new type of...

Boundary detection in echocardiographic images by directional gradient vector flow. (2004)

Cheng, Jierong., Foo, Say Wei., Krishnan, Shankar M.

Snakes, or active contour models, have been widely used in image segmentation. In this paper, a new type of dynamic external force for snakes named directional gradient vector flow (DGVF) is proposed...