Image processing; Computer vision; Pattern recognition systems
Image segmentation is one of the most important problems in image processing, object recognition, computer vision, medical imaging, etc. In general, the objective of the segmentation is to partition the image into the meaningful areas using the...
Estimating and analysis of deformation, either rigid or non-rigid, is an active area of research in various medical imaging and computer vision applications. Its importance stems from the inherent inter- and intra-variability in biological and...
Computer vision; Pattern recognition systems; Human face recognition (Computer science)
Humans have the uncanny ability to perceive the world in three dimensions (3D), otherwise known as depth perception. The amazing thing about this ability to determine distances is that it depends only on a simple two-dimensional (2D) image in the...
Corpus callosum; Diagnostic imaging; Autism--Diagnosis
Early detection of human disease in today’s society can have an enormous impact
on the severity of the disease that is manifested. Disease such as Autism and Dyslexia,
which have no current cure or proven mechanism as to how they develop, can...
This thesis briefly describes my current body of work, both formally and conceptually. The section titled Pattern Within Form, describes the concepts behind the use of stamps and molds, and the process of separately throwing segments of a single...
