Publication: Image segmentation using firefly algorithm
| datacite.subject.fos | oecd::Engineering and technology::Electrical engineering, Electronic engineering, Information engineering | |
| dc.contributor.author | Ong, Chin Loong | |
| dc.date.accessioned | 2024-10-01T08:02:59Z | |
| dc.date.available | 2024-10-01T08:02:59Z | |
| dc.date.issued | 2012-06-01 | |
| dc.description.abstract | Breast cancer is one of the causes of cancer death in women. An early detection technique is important to reduce the death rate of patients. MRI is one of the commonly used screening techniques for detecting tumour region. Segmentation of suspected breast tumour region in MRI image has been a challenge since the existence of this technology due to the physical appearance of tumour in the image. In this study, MRI breast tumour segmentation has been explored using firefly algorithm (FA), one of the metaheuristic algorithms. The goal is to implement the firefly algorithm to segment out the tumour region from suspected regions. Five MRI images are given for the purpose of tumour segmentation. Pre-processing such as median filter and removal of breast borderline are implemented to enhance the quality of images. Morphological operation is implemented to remove the small white dots in MRI images. The comparisons of final results of MRI images after tumour segmentation with benchmark result of radiologist are satisfied. This shows that firefly algorithm can be implemented in the breast images for tumour segmentation. | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/20558 | |
| dc.language.iso | en | |
| dc.title | Image segmentation using firefly algorithm | |
| dc.type | Resource Types::text::report | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |