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Editorial Team
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Asked: 2026-05-15T05:16:29+00:00

I am investigating the possibility of image processing to identify certain objects and also

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I am investigating the possibility of image processing to identify certain objects and also count them in an image.

I will be given a picture and I need to identify the number of boxes present in that image.

Does anybody have any experience with any Machine Vision/ Image Processing libraries like ImageJ, Fiji, JAI, jMagick ,Java Vision Toolkit? Which do you think is best suited for the job? What do you guys suggest? If the APIs can be used from Java, it would be better. Thank you.

Edit:
I am dealing with warehouse brown boxes. Yes I am talking about regular photos. The source is usually a mobile phone picture.

Edit2:
I am sorry the answer got autoselected. : (

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1 Answer

  1. Editorial Team

    If you must stick to Java, you can still use OpenCV.

    1. If it’s just boxes you can use Hough Transforms to detect them.
    2. You can use OpenSURF to detect phones based on source images you feed to it.
    3. Don’t think this would be feasible in your case: HAAR Cascades. You could create a custom HAAR clasifier, but the training process can be quite time consuming.

    HTH,
    George

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