Method for evaluating surface detects of small-sized workpieces and flow for detecting unqualified workpieces
A technology for small workpieces and workpiece surfaces, applied in the direction of optical testing flaws/defects, etc., can solve the problems of difficulty in evaluating workpieces, increasing costs, and the detection quality is greatly affected by human factors. The effect of low detection rate
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[0036] The surface defect types of small workpieces are shown in Fig. 1, Figure 1a to Figure 1e Schematic diagrams of five types of defects, namely missing corners, dropped edges, abnormal shapes, pockmarks and cracks.
[0037] figure 2 It is an evaluation method for the surface defects of the above-mentioned small workpieces, which specifically includes the following steps:
[0038] Step 1: Under the coaxial light source, use an industrial camera to capture the grayscale image of the surface of the small workpiece. The surface size of the workpiece is 4mm×3.5mm, and the resolution of the grayscale image is 640×512. Select a 5×5 template for the grayscale image Perform median smoothing filtering to obtain the filtered image; in order to locate the surface area of the workpiece, the maximum inter-class variance method is used to calculate the optimal threshold for image segmentation, and threshold segmentation is performed on the filtered image, which is an adaptive thresho...
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