In order to solve the current version of the official software is expensive and the definition of function types covered by small and interactive lack of universality in the background, lack of image quality evaluation problems, this paper from the definition of detection model analysis and interactive software development perspective, put forward the image quality evaluation system based on manmachine interaction detection and resolution. Firstly, according to the image gray standard deviation function, the entropy function and the Fu Liye transform function; we design the detection operator of the coupling gray space domain, the energy domain and the frequency domain. Then, according to the Windows message response mechanism, the relationship between the image and the size of the control is deduced, and then the region of interest is extracted with the method of image region extraction. Finally, the image quality evaluation system is developed by integrating the clarity detection operator and the humancomputer interaction mechanism. The experimental results show that compared with the current image quality evaluation mechanism, this mechanism has higher precision and practicability.