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如果在 blob 搜索过程中发现了对象，但这些对象尚未被教入，这可能有以下原因。

•可能的原因

•在未启用 RegionFeatures的情况下，算法仅根据区域和灰度值水平进行搜索。这意味着所有连续的像素区域都能找到与教入模型参数相匹配的像素。

•可能的解决方案

•使用区域特征。教导算法在每次教导操作中都会教导圆形度、矩形度和反差度。每次教入操作都会扩展模型的上限和下限。这些值可以通过区域特征（RegionFeatures）在搜索中启用。现在搜索只会返回具有这些几何特征的结果。

If objects are found during the blob search even though they have not been taught-in, this can have the following causes.

•Possible reasons

•Without enabled RegionFeatures, the algorithm searches only on the basis of the area and grayscale value levels. This means that all contiguous pixel regions are found that match the taught-in model parameters.

•Possible solution

•Use RegionFeatures. The teaching algorithm teaches in the circularity, rectangularity and anisometry with each teach-in operation. Each teach-in operation extends the upper and lower limits of the model. These values can be enabled for the search via RegionFeatures. The search now only returns results with these geometric features.

发现不需要的物体。

发现不需要的物体。