Variation Assessment of Large Entities Using Spatial Data

摘要

This paper focuses on the design and implementation of a spatial image processing system, which is used to extract a desired 2-D object region from a given image, calculate its area and compare it with other object regions. A linear time labeling algorithm has been designed to extract an object region based on user-specified properties. Then, we implemented a special function that allows polygon boundary selection from the extracted object region. To overcome the limitations of the recursive pixel analysis (floodfill) algorithm, we also designed an edge detection algorithm for image segmentation. Finally, to compare two binary objects that are extracted from spatial images, we introduced a technique to calculate the maximum overlap position of the two objects so that the areas of common and different regions could be computed.