PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The morphological connected slope filters (MCSFs) are
studied as gray level transformations, and two contributions are
made on these operators with the purpose of modifying the gradient
criterion performance. The proposals consist of: (a) the introduction of
three weighting functions and (b) the application of a displacement
parameter. The displacement parameter will permit the image segmentation
in a certain intensity interval and the contrast improvement
at the same time. This characteristic is an important difference among
the MCSFs introduced previously, together with the other transformations
defined in the current literature utilized uniquely to enhance contrast.
Also, an application example of the weighted morphological
slope filters is provided. In such an example, white matter is separated
from brain magnetic resonance images T1.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.