Self-adaptive method to distinguish inner and outer contours of industrial computed tomography image for rapid prototype

A self-adaptive identification method is proposed for realizing more accurate and efficient judgment about the inner and outer contours of industrial computed tomography (CT) slice images. The convexity-concavity of the single-pixel-wide closed contour is identified with angle method at first. Then, contours with concave vertices are distinguished to be inner or outer contours with ray method, and contours without concave vertices are distinguished with extreme coordinate value method. The method was chosen to automatically distinguish contours by means of identifying the convexity and concavity of the contours. Thus, the disadvantages of single distinguishing methods, such as ray methods time-consuming and extreme coordinate methods fallibility, can be avoided. The experiments prove the adaptability, efficiency, and accuracy of the self-adaptive method.