The inhomogeneity of images is always a challenge in the field of image segmentation.
Aiming at the problem of segmentation and correction of inhomogeneous images, this paper …

Salient region detection and segmentation from biological images is often a crucial step for
image understanding. The initial contour selection during segmentation being a competent …

Level set method (LSM) is popular in image segmentation due to its intrinsic features for
handling complex shapes and topological changes. Existing LSM-based segmentation …

Image segmentation plays a fundamental role in image processing. Active contour models
have been widely used since they handle topological change easily and provide smooth …

Edge-based active contour models are effective in segmenting images with intensity
inhomogeneity but often fail when applied to images containing poorly defined boundaries …

Brightness and color are two basic visual features integrated by the human visual system
(HVS) to gain a better understanding of color natural scenes. Aiming to combine these two …

Medical image segmentation demonstrates a significant part in curative image exploration
and dispensation, is a multifaceted and perplexing assignment for reckoning efficiency and …

Sidescan sonar image segmentation is a very important issue in underwater object detection
and recognition. In this paper, a robust and fast method for sidescan sonar image …

Local region-based active contour methods have been widely used to segment images with
intensity inhomogeneity. However, this process can hardly segment images well when …

We present RFOVE, a region-based method for approximating an arbitrary 2D shape with an
automatically determined number of possibly overlapping ellipses. RFOVE is completely …