From the autonomous car driving to medical diagnosis, the requirement of the task of image
segmentation is everywhere. Segmentation of an image is one of the indispensable tasks in …

Image segmentation operation has a great importance in most medical imaging
applications, by extracting anatomical structures from medical images. There are many …

Most image compression algorithms suffer from several drawbacks: high-computational
complexity, moderate reconstructed picture qualities, and a variable bit rate. In this paper, an …

We propose a modality invariant method to obtain high quality semantic object segmentation
of human body parts, for four imaging modalities which consist of visible images, X-ray …

Image segmentation especially fuzzy-based segmentation techniques are widely used due
to effective segmentation performance. For this reason, a number of algorithms are …

Segmentation of X-ray bone images is of concern in many medical applications such as
detection of osteoporosis and bone fractures. Segmentation of such images is a challenging …

Segmentation is needed for extracting the useful or concerned information. There are lots of
segmentation algorithms available. Here, we have discussed various segmentation …

External tagging methods can aid in the research of leopard coral grouper (Plectropomus
leopardus) in terms of its spatio-temporal behavior at population and individual scales …

Image segmentation is an important and difficult task of image processing and the
consequent tasks including object detection, feature extraction, object recognition and …

Image segmentation is a feverish issue as it is a challenging job and most digital imaging
applications require it as a preprocessing step. Among various algorithms, although split …