Visual Feature Extraction for Image Pattern Classification


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.


Associate Professor Tom Weidong Cai

Research Location

Computer Science

Program Type



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.

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Image pattern classification, feature extraction, Computer vision, Image processing, Medical Imaging

Opportunity ID

The opportunity ID for this research opportunity is: 1884

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