c++ - Product inspection with Computer vision - edge detection with opencv -

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i new user of opencv. doing project of performing product inspection opencv. planning extract edges of product , bad product compare edges maybe mean square difference. however, quite difficult extract edge first step.

good sample:good product [![enter image description here][1]][1] when use canny edge detection, edge of product (the blue part of picture) includes part of product , follows: edge of product [![enter image description here][2]][2]

i tried use adaptivethreshold make greyscale picture more clear , use edge detection. but, edge detected not expected because of many noise.

therefore, ask solution of extracting edge or better way of comparing product , bad product opencv. sorry bad english above.

this task can made simple if assumptions below valid. example:

  1. products move along same production line, , therefore lighting across product images stays same.
  2. the products lie on flat surface parallel focal plane of camera, rotation of objects around axis of lens.
  3. the lighting can controlled (this better edges, , used in production line image processing)

since cannot see images added, bit hard see situation is. if above assumptions valid, image differencing combined image signatures 1 possible approach.

another possibility train haar cascade classifier using , bad products. this, edges , taken care of. have collect lot of data , train classifier.


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