Cable apparent image defect detection device

Abstract

The invention discloses a cable apparent image defect detection device, which comprises a zynq processing platform and an off-chip DDR3 memory, wherein the zynq processing platform comprises an ARM part, an FPGA hardware processing part and a bus interconnecting part. The cable apparent image defect detection device is used for detecting wire apparent defects, adopts a high-speed camera for imaging cable apparent, is connected to a system through a camera link interface, and finally sends defected images after marking to an HDMI display for displaying results through six image processing steps including median filtering, sobel edge detection, threshold value segmentation, morphological filtering, boundary tracing and target recognition. The cable apparent image defect detection device implements parts of image processing algorithms including median filtering, sobel edge detection, threshold value segmentation and morphological filtering on hardware, and substantially improves the image processing speed.

Description

technical field [0001] The invention relates to the field of image processing, in particular to the field of hardware implementation of image processing. technical background [0002] Wire is an important raw material in modern industrial production, and its surface quality greatly affects the performance of the final product. During the production process, due to various factors such as raw material selection and processing technology, defects such as pores, scratches, and pitting will inevitably appear on the surface of the wire. These defects not only affect the appearance of the wire, but also cause serious quality problems in the use of the wire. Therefore, it is necessary to detect its apparent defects in the process of cable production. At present, general-purpose computers execute instructions serially in the process of image processing using general-purpose computers. For the processing of large amounts of data, there are disadvantages of slow speed and poor real-...

AI Technical Summary

Problems solved by technology

At present, when using a general-purpose computer to complete the image processing process, the general-purpose computer executes instructions in a serial manner. For the processing of large amounts of data, there are disadvantages of slow speed and poor real-time performance; and the computer is poor in portability.

Using the embedded method of ARM+DSP, the process control and human-computer interaction are realized on the ARM, and the image processing algorithm is realized on the DSP; although the processing speed of the DSP is faster than that of a general-purpose computer, it still mainly executes instructions in a serial manner. Therefore, there is still a certain gap in speed compared with FPGA hardware implementation; moreover, the communication speed between ARM and DSP will also limit the speed of the entire image processing system

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