The variational level set image segmentation based on the bias field can segment intensity inhomogeneity images using the local image information. However, the model cannot do it well when there are textures in the image. To solve the above problem, we propose a bias field variational level set image segmentation model to suppress texture information. The texture can be restrained by the intrinsic texture descriptor based on the texture geometric structure and it can enhance the contrast among different texture regions and smooth the image in the same texture region. It can reduce the mistakes of texture region segmentation by restraining the texture. Experimental results indicate that the proposed model can better segment natural and synthetic texture images in comparison with the bias field variational model.