PURPOSES : This study proposes a method to automatically analyze the shape of asphalt concrete aggregate using computer image analysis technology. METHODS : To develop automatic aggregate shape analysis technology, we developed an aggregate shape boundary analysis algorithm that combines Watershed algorithm and morphology technology. After the algorithm was developed, it was mounted on a separate prototype and compared with the manual aggregate shape analysis method. RESULTS : As a result of the algorithm comparison, the accuracy of the aggregate shape analysis was about 90%, and there was a problem that some noise occurred. This problem was derived from external roughness, the shape of the overlapped aggregate, and sand as the main causes. Therefore, we devised a method to analyze the shape of the aggregate by adjusting the external illuminance constant or using an artificial intelligence model. CONCLUSIONS : The results of this study can be used as basic research data to help improve quality control techniques in the production of asphalt concrete in the future.