Request Expert

Expert has been teaching and performing research in pattern recognition for many years. His expertise includes statistical methods for pattern recognition, feature extraction, cluster analysis, and neural networks. These methods are used for the design of classifiers to separate patterns into different groups or categories.

Expert's research has been concerned with the identification of objects, shapes or patterns from digitized images. He can evaluate feature extraction techniques for image analysis and their use designing pattern classifiers.

Expert has been an active contributor to information theory research. His work has centered on the area of source coding or data compression. The primary application has been in the efficient representation of line drawings.

Expert's research has focused on the problems of accurate methods of representing and reconstructing digital curves. He has devised algorithms for representing curves with subpixel accuracy. He has worked on methods to reconstruct the original curve from its digitized form, converting a low resolution digital curve into one with high resolution.


For the recognition of image objects it is generally necessary to segment or separate the object from the rest of the image. Expert's work includes methods for detecting and accurately determining the boundaries of objects for gray level as well as color images. Expert's currant research involves image edge detection. He has served as a reviewer in numerous journals for articles on edge detection.

Expert has a strong theoretical background in source coding and data compression of binary images.