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Possibility on defect detection.

Hello, I'm working on a project where I need to find minor defects and report if it is defected.

Here are pictures of good and bad samples. Please note that these images are a result of post thresolding stage. Ie, noice removal and all pre-processing has been done. Brown outline that you see is convexHull curve for the contour (object).

Good sample

image description

Bad sample (defect at top left corner)

image description

Things I've tried till now.

  1. Histogram matching of thresolded images.
  2. Contour area and minAreaRect area comparing.

However, each of this method works on a particular defect but not all.

Any suggestions / tips for better results ?

Possibility on defect detection.

Hello, I'm working on a project where I need to find minor defects and report if it is defected.

Here are pictures of good and bad samples. Please note that these images are a result of post thresolding stage. Ie, noice removal and all pre-processing has been done. Brown Gray outline that you see is convexHull curve for the contour (object).

Good sample

image description

Bad sample (defect at top left corner)

image description

Things I've tried till now.

  1. Histogram matching of thresolded images.
  2. Contour area and minAreaRect area comparing.

However, each of this method works on a particular defect but not all.

Any suggestions / tips for better results ?