Abstract:

With the maturity and popularization of the database techniques, datasets which are stored in computers become larger and larger. People are already not only satisfied with the data management, but also hope to analyze data, finding knowledge and information from large numbers of datasets. Pixeloriented visualization techniques stand out from other visualization techniques with advantages of its effectively analyzing and dealing with large scale database. With the comprehensive contrasts of several classic visualization techniques from the time efficiency and the display results, the paper proposes a method to realize the data visualization which based on the pixel techniques. This new method applies the highefficiency scan line seed fill algorithm to making the large scale datasets switch into different color pixels and then displaying them in the structured pixel mapping model. It provides guidance to a macroscopical analysis of the changing regularity to large scale datasets, and greatly improves the efficiency of the algorithm.

Key words: pixeloriented techniques;data visualization;scan line seed fill;color mapping;pixel mapping model