Image segmentation is the first step in a complex process of object recognition. This report presents a method to gauge the difficulty of segmentation by calculating a scalar parameter Q for an image. This parameter depends on a distribution of the intensity of the grayscale image and the distribution of the clustering of pixels. It is assumed that images with a smaller number of clusters are easier to segment than images with a large number of clusters. Since segmentation precedes any human perception and categorization, the distribution of parameter Q introduced in this study may be useful in characterizing the variability of images collected in a training database for the development of object recognition algorithms which use Machine Learning (ML) methods. Parameter Q can be especially useful for building a representative dataset of images for training ML algorithms. To demonstrate a link between particular values of Q and different segmentation conditions, a few grayscale images were distorted by some common transformations (like Gaussian noise, median filtering, reduction in grayscale) and the corresponding values of parameter Q were calculated. To demonstrate a possible use of the parameter Q on data other than grayscale images, depth images of flat planar targets taken by two depth cameras were also processed.
Document Citations
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Chicago
National Institute of Standards and Technology (NIST), Commerce Department. "Gauging the Difficulty of Image Segmentation". Government. Commerce Department, March 25, 2022. https://www.govinfo.gov/app/details/GOVPUB-C13-0e8a4245994cd420dcff13e94ff3855a
APA
National Institute of Standards and Technology (NIST), Commerce Department. (2022, March 25). Gauging the Difficulty of Image Segmentation. [Government]. Commerce Department. https://www.govinfo.gov/app/details/GOVPUB-C13-0e8a4245994cd420dcff13e94ff3855a
MLA
National Institute of Standards and Technology (NIST), Commerce Department. Gauging the Difficulty of Image Segmentation. Commerce Department, (25 Mar 2022), https://www.govinfo.gov/app/details/GOVPUB-C13-0e8a4245994cd420dcff13e94ff3855a
Bluebook
National Institute of Standards and Technology (NIST), Commerce Department, Gauging the Difficulty of Image Segmentation, GovInfo, (March 25, 2022), https://www.govinfo.gov/app/details/GOVPUB-C13-0e8a4245994cd420dcff13e94ff3855a
