The traditional method of wire detection is implemented artificially, and that is heavy-worked, inefficient and low-accurate. This paper proposes a novel method to complete the job by using image technology to improve production efficiency and product qualification rate. In this paper, Pulse Coupled Neuron Network (PCNN) has been applied to the wire image preprocessing, and then Hough Transform (HT) is used to extract features of lines, and detect them according to these features from the processed image. After that, whether the wires were qualified was determined by the criterion of parallelism and isometry. Comparison between different wire images was given in the experimental study. Experimental results showed that the proposed method was feasible and this method could achieve higher detection accuracy and efficiency compared with the traditional method.