Rotation is a common motional form in nature, existing from atoms and molecules, industrial turbines to astronomical objects. However, it still lacks an efficient and reliable method for real-time image processing of a fast-rotating object. Since the Fourier spectrum of a rotating object changes rapidly, the traditional Fourier transform (FT) techniques become extremely complicated and time consuming. Here, we propose a Laguerre-Gaussian (LG) transform to analyze the rotating object with LG-mode 5-7 basis. The rotation operation provides a feasible way to acquire LG spectrum, which is similar to the function of lens in FT. Particularly, the obtained LG spectrum does not change even the object working at a high rotating speed. By analyzing the LG spectrum, one can perform image processing such as reconstruction, edge enhancement, and pattern replication. Such LG transform provides an efficient and convenient way to real-time monitor and analyze a fast-rotating object in scientific research and industry.FT decomposes a temporal signal into its constituent frequencies. Because many linear operations including differentiation and convolution are much easier to perform in the frequency domain, FT has been widely applied in analysis of differential equations, FT spectroscopy, and signal processing [1]. In Fourier optics, FT from an optical pattern to its spatial frequency components can be readily achieved by using an optical lens [2]. Based on such optical FT, powerful tools, such as image reconstruction, edge recognition, spatial filtering, computer generated hologram, and image compression [3], have been developed for image processing schemes. However, in real-time monitoring of a rotating object (such as a biological molecule, industrial centrifuge and turbine, and an astronomical object), the typical optical FT techniques wouldn't work as efficiently as usual. Since its Fourier spatial frequency spectrum is changing along with the rotating object, FT-based image processing schemes become complicated and time consuming. In this Article, we propose and experimentally demonstrate to use a Laguerre-Gaussian (LG) transform of a rotating object to overcome this problem. The obtained LG spectrum does not vary with the rotation, which provides great convenience and a nature way for further image processing of a fast-rotating object.