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Fig. 2 | IPSJ Transactions on Computer Vision and Applications

Fig. 2

From: In-line recognition of agglomerated pharmaceutical pellets with density-based clustering and convolutional neural network

Fig. 2

A cluster consists of core points (red) and border points (green). Core points have at least minPts in their neighborhood N ε (constrained by ε), whereas border points have less than minPts in their N ε , but are inside N ε of a core point. Points that are outside N ε of any core point and have less than minPts in their N ε are considered noise (blue)

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