Watershed segmentation is a widely used technique for image partitioning. However, over-segmentation normally occurs when the smoothing process is not operated properly. For example, improper selection of smoothing scheme and parameters will not only wipe out the detail of image content but also affect the accuracy of following feature extraction. In order to overcome these drawbacks, a modified watershed segmentation method based on the edge intensity filtering is proposed. An experiment using both QuickBird multi-spectral and panchromatic images is performed to test the proposed scheme. The result shows that the proposed scheme can generate reasonable and simplified segmentation output for different type of objects.