Identifying Regions of Interest in Complex Imagery * Abstract

display of multidimensional data objects. These methods assist in the identification of precise Measures of inportance take a variety of forms in multisubregions of interest when the data objects dimensional data objects. Examples include edges, exare extremely large and complex. Our results trema, modes, patterns, deviation from expected patextend previous work in scientific visualization by generalizing the number of data dimensions, terns, change as a function of one or more variables and by integrating novel interactive and ana-(e.g., change with time), local independence of generlytic tools for focusing on regions of interest. ally correlated variables, and extreme gradients in natural systems. The results in the sections that follow, on automatic and manual techniques, are essentially independent of specific measures because they assume