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A novel method, called grayscale iteration threshold pulse coupled neural network (GIT-PCNN) was proposed for image segmentation, which integrates grayscale iteration threshold with PCNN. PCNN has been widely used in image segmentation. However, satisfactory results are usually obtained at the expense of time-consuming selection of PCNN parameters and the number of iteration. In this method, traditional...
A novel method is proposed to detect and Alter pepper and salt noise in an image based on pulse coupled neural network (PCNN) firing matrix, which contains the spatial information and time information of the original image. The PCNN structure is simplified to avoid selecting too many parameters, which a unidirectional decaying threshold is proposed. The pixels polluted by noise are detected through...
To reduce noise and speckles in the spectrograms of Doppler blood flow signals, a novel method, called matching pursuit with pulse coupled neural network (MPPCNN), has been proposed. The method considered is an iterative decomposition algorithm, which decomposes the Doppler ultrasound signals into linear expansion of atoms in a time-frequency dictionary using the matching pursuit (MP) for de-noising...
This study describes a new method for segmentation of Synthetic Aperture Radar (SAR) images, which integrates optimal threshold with pulse-coupled neural network (PCNN). Traditional image segmentation algorithms exhibit weak performance for SAR images due to the poor quality of SAR images. PCNN has been widely used in image segmentation. However, satisfactory results are usually obtained at the expense...
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