At present, the image mining is mainly based on its local and key features, which focuses on its texture and statistical grayscale\nfeatures, but it focuses on its edge and shape features rarely. However, the contour is also an important feature for image shape\nrecognition. In this paper, a good target image contour coding algorithm was adopted, and an LCV segmentation model with good\nimage boundary acquisition capability that can reflect the target image contour features was selected for the original image\ncontour segmentation. Thedetailed features analysis of the contour coding algorithm was carried out through the experiments; the\nexperimental results showed that the algorithm was a significant technological breakthrough in image feature extraction\nand recognition.
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