This paper presents a new texture spectrum descriptor for content-based image retrieval (CBIR). The relation between wavelet transition and texture spectrum method is discussed. This paper proposes the concept of texture pattern equivalent according to texture visual nature to educe more rational texture spectrum descriptor. The proposed texture patterns depict the variational pattern of pixel gray scales in a domain to descript images texture feature. It represents image content in the form of texture spectrum histogram. The symmetry invariant and rotation robusticity are discussed. Comparison with Gabor features using general image dataset indicate that the proposed texture descriptor takes lower extracting time and provides higher image retrieval accuracy.