In order to improve the effect of image texture detection, the multi-order ring structure quantum algorithm is proposed. The quantum multi-order ring structure is established. Each quantum can communicate with rings of both its own order and other orders, so each quantum can choose two quanta which are connected or located at other rings as its neighbors and the number of quanta which choose other rings′quanta as its neighbors is determined randomly. The position is contributed to the capability of the ring and the probability of each order quantum which is optimized is determined self-adaptively. The quantum node information is proposed, including full and same order sharing probability. The image texture local binary detection model is established by amplitude, symbols and gray, the standard deviation is chosen to describe texture complexity for gray in the neighborhood. And, the algorithm process is given. Simulation experiments show that detection texture of the proposed method is clear, the texture is coherent, and the processing time, entropy and average gradient index are better than other algorithms.