Abstract:

BACKGROUND: The applying of mathematical morphological algorithm has achieved good result in extracting the interested area of the brain MR image. However, it is has limitation in anti-noise property and structuring element selection.
OBJECTIVE: To extract the interested area of the brain MR image clearly and fully based on mathematical morphology, to provide accurate information for clinical medical diagnosis.
METHODS: Firstly, a compound mathematical morphological algorithm was used to filter the pulse and gauss noise and a hip-top cap transform was used to buildup the image. Then, the brain compositions were extracted based on watershed threshold segmentation method. After morphological filter, tracking edge and filling in gray degree, the edge of the interested area was detected clearly by the anti-noise edge detectors. At last, in order to stand out the physician, interested area, it was demarcated colorful in original image.
RESULTS AND CONCLUSION: It introduced a combination utilization of multi- mathematical morphology algorithms to realize the interested area extraction of brain clearly and fully. The experimental results show that the proposed algorithm is characterized by simple, fast, high precision and strong applicability.