AP01002 Using Segmentation Techniques for Nuclear Tracking of Images

Abstract

One of the most used track detectors is the CR-39, which delivers the precise number of particles with high detection efficiency, assuming that the particles connect with it and releases enough energy. However, because of varying environmental factors, as well as the complexities of detection method and the ambiguous nature of the anomaly, it is difficult to detect number of the nuclear trace. in this research three different trace nuclear images have been used with different numbers of track, after the laboratory works three different nuclear images are obtaining, these images differ from each other in the time of etching, after obtaining these images different segmentation methods are applied on it such as global thresholding, canny edges detection, K-mean clustering and watershed transform, these method of segmentation used to allows the nuclear effects to be appear clearly by clearly highlighting the edges of the image and clearly showing the teeny track of the nuclear effects in the images as well as isolating the damaged area from the undamaged area and isolating the region of interest from the background, all these work was done by written program using MATLAB.