Metal Abrasive Image Segmentation Algorithm Based on K-means Clustering
Pengpeng Zhang,
Wei Wu,
Yu Li
et al.
Abstract:Metal abrasive image segmentation is one of the important image processing tasks in the industrial field. However, due to the complex color and texture characteristics of metal abrasive images, as well as difficult factors such as noise and lighting changes, traditional image segmentation methods often fail to achieve high accuracy and stability. In order to solve this problem, a metal abrasive image segmentation algorithm based on K-means clustering is proposed. The algorithm applies the K-means clustering al… Show more
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