Mega voltage X-ray image segmentation and ambient noise removal

Mega voltage X-ray images are often characterized by low contrast, low resolution and image blurring. We explore efficient image segmentation of different types of mega voltage X-ray images using a specific neural processing technique called pulse coupled neural network (PCNN). We also study the usefulness of PCNN in ambient noise removal for the high voltage X-ray images.