In practical applications, when the object itself contains some inherent color or texture features, these features can be used as a priori information, which can greatly improve the accuracy of the segmentation. Therefore, this paper proposes an improved level set method which is based on prior information. Firstly, we use the thought of the energy structure of C-V model to construct an energy function that contains of color information to segment color image. Then, we put the color component into the traditional structure tensor for the texture image segmentation. Finally, we get the new level set model from the traditional C-V model with the new energy structure and the penalty term of Li model. In view of the color and the texture information of strawberry fruit, the improved level set method has been applied to the segmentation of fruit image in agriculture. By experiment on laboratory and nature, the result shows that the improved can not only segment out strawberry, but also segment texture on the surface of strawberry. Comparing with the OTSU algorithm, the traditional C-V model and improved C-V model, the experimental results show that the proposed method has better segmentation result.