ACP- based Circular target image Rotation normalization system

In certain visual detection tasks that focus on circular objects, especially for those with less distinctive features, the rotation of the circular object in the image often leads to significant errors in the detection results or even task failure. To adaptively locate the stable rotation normalization position of circular object images, this paper designs a circular object image rotation normalization system based on the Adaptive Circle Projection (ACP) algorithm, which can adaptively detect and rotate any circular object image to this position regardless of the rotation angle. Experimental results on multiple types of different objects show that the system can adaptively detect stable rotation normalization positions for 10 circular objects with any rotation angle. This paper also designs an image operation interface for the system to demonstrate its portability.