Excessive segmentation is easily caused by traditional watershed transform image segmentation method and it is disadvantaged to image analysis and processing at the post stage. A method incorporating with watershed transform and region feature merging is adopted. Firstly, the original image is transformed morphologically to get gradient image. Then watershed transform is performed and the operated result is regional merged based on region texture, gray level consistency and region smoothness. And the segmentation result is got finally. Experimental results show that the method is feasible and effective comparing with traditional watershed transform method and excessive segmentation due to noise and light-to-dark texture is reduced effectively.