Timothy N. Jones

Learn More
This paper describes a general-purpose method we have developed for automatically segmenting objects of an unknown number and unknown locations in images. Our method integrates deformable models and statistics of image cues including intensity, gradient, color, and texture. By using a combination of image features rather than a single feature such as(More)
We have developed an algorithm for segmenting objects with closed, non-intersecting boundaries, such as the heart and the lungs, that is independent of the imaging modality used (e.g., MRI, CT, echocardio-graphy). Our method is automatic and requires as initialization a single pixel/voxel within the boundaries of the object. Existing segmentation techniques(More)
We have developed an algorithm for segmenting objects with simple closed curves, such as the heart and the lungs, that is independent of the imaging modality used (e.g., MRI, CT, echocardiography). Our method is automatic and requires as initialization a single pixel within the boundaries of the object. Existing segmentation techniques either require much(More)
  • 1