Edge Detection of Industrial Computerized Tomography Based on BP Neural Network
Xuling Wu · Journal of Sichuan University of Science & Engineering · 2008
In this paper,the improved BP algorithm is proposed for edge detection of industrial CT images. And the samples exemplifying how to acquire the BP algorithm in a short time span are provided. With help of the obtained weighted matrix the significance of the algorithm is that the edge of binary images can be detected through the process. Furthermore, first divide each gray-scale image into 8 binary planes with different gray level, and then naturally the images surface up through synthesizing the edge of each binary plane. Applying the method to industrial CT images’ edge detection, fine continuous edge can be acquired, the virtues of which lies in its strong resistance against noise pollution and can be widely adopted in practice.