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Segmentation Method for Rock Particles Image Based on Improved Watershed Algorithm

机译:基于改进分水岭算法的岩石颗粒图像分割方法

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The complex texture of natural background gives lots of difficulty to segment foreground objects from the nature background in rock particles image. An improved watershed segmentation method is proposed to raise the segmentation accuracy of rock particles image. The new method combines the merits of mathematical morphology algorithm and traditional watershed algorithm. At different stages of segmentation, this method uses morphological reconstruction, marker computations, defined intuitive watershed algorithm and region merging to avoid over-segmentation and guarantee a better ability of segmentation.
机译:自然背景的复杂纹理使从岩石粒子图像中的自然背景中分割前景对象变得很困难。提出了一种改进的分水岭分割方法,以提高岩石颗粒图像的分割精度。新方法结合了数学形态学算法和传统分水岭算法的优点。在分割的不同阶段,该方法使用形态重构,标记计算,定义的直观分水岭算法和区域合并,以避免过度分割,并确保更好的分割能力。

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