With the paddy soil from the Tai Lake Region as a case for study, an introduction was presented to the application of the technique of dye tracing and image processing to quantitative study of soil macropores. Stained regions in the soil profile are places where soil pores exist. The bigger the aperture of a pore is, the more the dye solution inpours, and the darker the color of the stained region is. Images of soil profiles were processed with the GIS software, ArcGIS, and remote sensing image processing software ERDAS for color classification. Stained portions which represent macropores were picked out for computing the macropore contents. Results of the computation consist with the variation of soil porosity, soil clay content and soil saturated conductivity from top to bottom of the soil profile. Also factors that influence soil pore quantification were discussed.