Wyniki wyszukiwania - BazTech

Ograniczanie wyników

1 Machine Graphics and Vision

1 2002

Znaleziono wyników: 1

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: region merging

Sortuj według:

Ogranicz wyniki do:

Segmentation of spinal cord images by means of watershed and region merging together with inhomogeneity correction

Nieniewski M., Serneels R.

Machine Graphics and Vision

2002

Vol. 11, No. 1

101-121

The paper presents a morphological method for segmentation of high field Mahnetic Resonance (MR) images of the human spinal cord and extraction of the gray matter mask. These images are of low quality and poor contrast. The inhomogeneity of brightness in thr image is usully more pronounced than the difference in brightness between the gray matter and the white matter. Due to this inhomogeneity, it is very hard to use watershed segmentation for automatic extraction of the gray matter, and what remains is manual pointing out of a hundred or more regions belonging to the gray matter. However, as shown in the paper, by using the White Top Hat (WHT) transform with a large structuring element, one can correct the images, significantly reducing the inhomogeneity and approprioriginal image, whereas region statistics used for region merging are calculated from the corrected image. Then the extraction of the gray matter mask is carried out in a semi-automatic way, with the user pointing out the first region belonging to the gray matter area, and the program selecting subsequent neighboring regions based on the statistics of the regions. The method was tested on images coming from different cross-sections of the spinal cord, and the results indicate that the process of extracing the gray matter mask has been significantly speeded up and improved.