Though the modern medical imaging research is advancing at a booming rate, it is still a
very challenging task to detect brain tumor perfectly. Medical imaging unlike other imaging …

A novel and efficient method is presented for grouping feature points on the basis of their
underlying symmetry and characterising the symmetries present in an image. We show how …

We generalize the concept of bilateral reflection symmetry to curved glide-reflection
symmetry in 2D euclidean space, such that classic reflection symmetry becomes one of its …

Symmetry and self-similarity are the cornerstone of Nature, exhibiting themselves through
the shapes of natural creations and ubiquitous laws of physics. Since many natural objects …

Symmetry and self-similarity is the cornerstone of Nature, exhibiting itself through the shapes
of natural creations and ubiquitous laws of physics. Since many natural objects are …

A method is presented for efficiently detecting bilateral symmetry on planar surfaces under
perspective projection. The method is able to detect local or global symmetries, locate …

Symmetry is everywhere, found in objects around us, whether artificial or natural, and acts
as a mid-level cue for both human and machine perception of the chaotic real world. From …

In this paper we present a technique to detect the tumor from magnetic resonance imaging
brain scans. Usually tumors occupy the locations of normal tissues and their intensity …

Tumor and related abnormalities are a major cause of disability and death worldwide.
Magnetic resonance imaging (MRI) is a superior modality due to its noninvasiveness and …

The precise segmentation of brain tumors from MR images is necessary for surgical
planning. However, it is a tedious task for the medical professionals to process manually …