Level set is one of active contour models, which is good at handling complex topologies and
capturing boundary. The level set methods are specially used in image with intensity …

In this paper, a new content-based medical image retrieval (CBMIR) framework using an
effective classification method and a novel relevance feedback (RF) approach are proposed …

The task of natural image segmentation is one of the most researched topics of computer
vision. There are mainly two principal approaches for the task, the statistical approach and …

Image segmentation plays an essential role in many medical applications. Low SNR
conditions and various artifacts makes its automation challenging. To achieve robust and …

Integration of shape prior information into level set formulations has led to great
improvements in image segmentation in the presence of missing information, occlusion, and …

In this article, we present a new multi-phase pseudo 0.5 level set framework on fuzzy energy
based active contour model to segment images into more than two regions. The proposed …

Background: Image segmentation is a very important problem in the field of image
processing, complete and accurate image segmentation technology in many fields have …

The existing spectrum index-based methods for detecting vegetation coverage suffer from
an over-dependence on spectrum. To address these issues, this paper proposes a graph cut …

Cine MRI is an imaging technique for visualizing the left ventricle wall motion in a heart
beating cycle. The paper proposed a method to semi-automatically segment the left ventricle …

Segmenting a natural image is a complex task. Different semantic units may share similar
visual features. On the other hand, such features can have variations even within a single …