基于图像处理的贵金属破损识别方法研究

Research on method of damage identification of precious metal based on image processing

贵金属破损识别在质量鉴定和修复等领域具有应用价值,采用图像处理方法进行贵金属破损的视觉特征识别,提高识别准确性。提出一种基于角点检测和纹理跟踪的贵金属破损识别算法。首先对贵金属成品图像进行降噪处理,然后进行纹理特征提取,采用角点检测和纹理跟踪识别方法实现图像分割,实现图像识别。仿真结果表明,该识别方法精度较高,稳健性较好。

The damage identification of precious metals in the field of quality identification and repair has the application value. A new algorithm for damage identification of precious metals based on corner detection and texture tracking is proposed. First of all, the image of the precious metal is noise reduction processing, and then the texture feature extraction, using corner detection and texture tracking recognition method to achieve image segmentation, image recognition. The simulation results show that this method is of high accuracy and good robustness.