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Measuring the long-term LOS deformation using a multi-pass SAR data stack by standard persistent scatterer (PS) technique has been explored since the late 1990s. Researches have been continuously conducted on increasing the data coverage at non-PS-rich areas. The recently developed SqueeSAR™ technique has validated the potential of extracting useful information from distributed scatterers. With the...
Low signal noise ratio (SNR) of the ultrasound images makes the segmentation of fetal lung a difficult task. In this paper, a novel method using the texture-based boundary enhancement and active contour models is developed to semi-automatically segment the fetal lung from fetal chest ultrasound images. The texture-based boundary enhancement procedure is firstly proposed to enhance boundary regions...
Cell segmentation from microscopic images is the first stage of the automatic biomedical image processing, which plays a crucial role in the study of cell behavior and cell structure. In this paper, a novel approach is proposed to segment cells which are characterized as elliptical objects. Cell segmentation is implemented using an ellipse detection algorithm based on ellipse curve segmentation and...
A SWT based variable-weights selection scheme is proposed to merge the gray structural image and its corresponding color functional image for the localization of the protein in the biological community. After decomposing the original image by the stationary wavelet transform (SWT), multi-scaled transparencies are assigned for each pixel according to its SWT values. Then the fused product is generated...
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