Abstract
Intensity inhomogeneity or bias field in natural and medical
images make image processing challenging. In this paper we have introduced a novel technique in which we first estimate the bias field using
multi-scale filtering. Based on the bias field, the bias field corrected image
is obtained which is used for accurate segmentation. For segmentation, a
convex functional is proposed which is also suitable for multi-region segmentation. The proposed formulation is extended to vector-valued images
and texture images. For comparison, the results are compared with state of
the art models both qualitatively and quantitatively which validate strong
enactment of the proposed formulation.
Muhammad Salim Khan, Haider Ali, Noor Badshah, Gohar Ayub Khan. (2020) Convex Active Contours with Locally Bias Field Estimator, Punjab University Journal of Mathematics, Volume 52 , Issue 10.
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