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Research on object-background segmentation of color image based on LabVIEW

机译:基于LabVIEW的彩色图像对象背景分割研究

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Automatic threshold segmentation or magic wand processing usually can't perfectly extract target from a color image with complex background. A method combining color threshold segmentation with the magic wand processing is proposed to solve this problem. The thresholds in H, S, L color plane are respectively set on the HSL model to avoid single gray variation. Combined with morphological image processing the boundaries of the object and background of the image is more obvious. The magic wand processing is used to extract the object from the background. Experiments which designed based on LabVIEW and NI-IMAQ Vision can greatly shorten the developing cycle and can be easily implemented and maintained. The results show the method proposed above work better than the usual method.
机译:自动阈值分割或魔术棒处理通常无法从具有复杂背景的彩色图像中完美地提取目标。为了解决这个问题,提出了一种将颜色阈值分割与魔术棒处理相结合的方法。在HSL模型上分别设置H,S,L色平面中的阈值,以避免单个灰度变化。结合形态图像处理,对象的边界和图像背景更加明显。魔术棒处理用于从背景中提取对象。基于LabVIEW和NI-IMAQ Vision设计的实验可以大大缩短开发周期,并且易于实现和维护。结果表明,以上提出的方法比常规方法效果更好。

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