This study aims to investigate the various techniques of image feature extraction, and to develop new methodologies for various applications in the medical imaging domain.
Image pattern classification has a wide variety of applications, such as differentiation of disease patterns and detection of interest objects. The classification performance is largely dependent on the descriptiveness and discriminativeness of feature descriptors. Consequently, how to best extract the complex visual features into feature descriptors is crucial. Currently many different ways of image feature extraction have been proposed in the literature, yet their performance is still unsatisfactory and feature extraction remains a hot topic in computer vision.
The opportunity ID for this research opportunity is 1884