According to the shortcoming that traditional multiscale geometry analysis method is easy to lose clarity and hard to choose fusion rules when an image is fusing, this paper proposes an improved multifocus image fusion method based on regional segmentation, firstly, uses Lifting Stationary Wavelet Transform to obtain the initial fused images, then receives different segmented regions by treating the initial fused image with Normalized Cut algorithm, uses NSCT transform for the original images respectively, calculates the sum of absolute value of transform coefficient of each segment of high frequency component, finally chooses the biggest absolute value area for fused area, and obtains fused multifocus image by iterating through each segmented region. Numerical example proves that this algorithm is not only more simple in choosing fusion rules than traditional multiscale analysis fusion algorithm but also can overcome the shortcoming of clarity loss and has validity.