In order to improve the robustness of the Hashing algorithm for the content modification such as rotation, a robust image Hashing algorithm based on radial Tchebichef moment and Color Vector Angle(CVA) is designed in this paper. The 2D Discrete Wavelet Transform(DWT) is introduced to decompose the color vector angle of image for obtaining four sub-bands, and the low frequency coefficients are taken as structural features. The Tchebichef moments of pre-processing image are calculated based on radial Tchebichef moments to extract global features. And an intermediate Hash sequence is got by combining the two features. The encryption function is designed to encrypt the intermediate Hash for obtaining the target Hash sequence. Finally, the l2 norm distance between the initial target and the Hash sequence of the recognized image is calculated, and the authenticity discrimination of the image content is finished by comparing it with the preset threshold. The test data shows that this proposed Hashing algorithm is more robust than the existing Hashing algorithm, which can accurately identify the modifications of rotation, color and scaling.